repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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AISFormer | AISFormer-master/projects/PointSup/point_sup/detection_utils.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import torch
# fmt: off
from detectron2.data.detection_utils import \
annotations_to_instances as base_annotations_to_instances
from detectron2.data.detection_utils import \
transform_instance_ann... | 4,129 | 38.711538 | 98 | py |
AISFormer | AISFormer-master/projects/PointSup/point_sup/point_utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detectron2.layers import cat
def get_point_coords_from_point_annotation(instances):
"""
Load point coords and their corresponding labels from point annotation.
Args:
instances (list[Instances]): A list of N ... | 3,288 | 41.166667 | 98 | py |
AISFormer | AISFormer-master/projects/Rethinking-BatchNorm/retinanet-eval-domain-specific.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import sys
import torch
from fvcore.nn.precise_bn import update_bn_stats
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import LazyConfig, instantiate
from detectron2.evaluation import inference_on_dataset
from det... | 1,216 | 32.805556 | 95 | py |
AISFormer | AISFormer-master/projects/Rethinking-BatchNorm/configs/retinanet_SyncBNhead.py | from detectron2.model_zoo import get_config
from torch import nn
model = get_config("common/models/retinanet.py").model
model.backbone.bottom_up.freeze_at = 2
# The head will overwrite string "SyncBN" to use domain-specific BN, so we
# provide a class here to use shared BN in training.
model.head.norm = nn.SyncBatchN... | 689 | 33.5 | 74 | py |
AISFormer | AISFormer-master/projects/Rethinking-BatchNorm/configs/retinanet_SyncBNhead_SharedTraining.py | from typing import List
import torch
from torch import Tensor, nn
from detectron2.modeling.meta_arch.retinanet import RetinaNetHead
def apply_sequential(inputs, modules):
for mod in modules:
if isinstance(mod, (nn.BatchNorm2d, nn.SyncBatchNorm)):
# for BN layer, normalize all inputs together
... | 1,160 | 34.181818 | 88 | py |
AISFormer | AISFormer-master/projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_shuffle.py | import math
import torch
import torch.distributed as dist
from detectron2.modeling.roi_heads import FastRCNNConvFCHead, MaskRCNNConvUpsampleHead
from detectron2.utils import comm
from fvcore.nn.distributed import differentiable_all_gather
def concat_all_gather(input):
bs_int = input.shape[0]
size_list = comm... | 2,320 | 29.946667 | 91 | py |
AISFormer | AISFormer-master/projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_batch_stats.py | from torch.nn import BatchNorm2d
from torch.nn import functional as F
class BatchNormBatchStat(BatchNorm2d):
"""
BN that uses batch stat in inference
"""
def forward(self, input):
if self.training:
return super().forward(input)
return F.batch_norm(input, None, None, self.w... | 700 | 32.380952 | 93 | py |
AISFormer | AISFormer-master/projects/DensePose/query_db.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import logging
import os
import sys
from timeit import default_timer as timer
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.data.catalog import DatasetCatalog
from detectron2.utils.file_io import Path... | 8,442 | 32.63745 | 96 | py |
AISFormer | AISFormer-master/projects/DensePose/apply_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import glob
import logging
import os
import pickle
import sys
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.config import CfgNode, get_cfg
from detectron2.data.detection_utils import read_image
from d... | 12,551 | 34.357746 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/setup.py | import re
from pathlib import Path
from setuptools import find_packages, setup
try:
import torch # noqa: F401
except ImportError as e:
raise Exception(
"""
You must install PyTorch prior to installing DensePose:
pip install torch
For more information:
https://pytorch.org/get-started/locally/
... | 1,245 | 27.976744 | 91 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/evaluation/mesh_alignment_evaluator.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import logging
from typing import List, Optional
import torch
from torch import nn
from detectron2.utils.file_io import PathManager
from densepose.structures.mesh import create_mesh
class MeshAlignmentEvaluator:
"""
Class fo... | 2,811 | 40.970149 | 93 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/evaluation/densepose_coco_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# This is a modified version of cocoeval.py where we also have the densepose evaluation.
__author__ = "tsungyi"
import cop... | 57,060 | 42.792018 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/evaluation/tensor_storage.py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import numpy as np
import os
from dataclasses import dataclass
from functools import reduce
from operator import mul
from typing import BinaryIO, Dict, Optional, Tuple
import torch
from detectron2.utils.comm import gather, get_rank
from detectron2.utils.fil... | 9,478 | 38.661088 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/evaluation/evaluator.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import itertools
import logging
import numpy as np
import os
from collections import OrderedDict
from typing import Dict, Iterable, List, Optional
import pycocotools.mask as mask_utils
import torch
from p... | 16,485 | 38.066351 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/vis/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import cv2
import torch
Image = np.ndarray
Boxes = torch.Tensor
class MatrixVisualizer(object):
"""
Base visualizer for matrix data
"""
def __init__(
self,
inplace=True,
cmap=cv2.COLORMAP_PAR... | 6,688 | 33.838542 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/vis/densepose_outputs_vertex.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import numpy as np
from functools import lru_cache
from typing import Dict, List, Optional, Tuple
import cv2
import torch
from detectron2.utils.file_io import PathManager
from densepose.modeling import build_densepose_embedder
from den... | 8,432 | 35.665217 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/vis/extractor.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import List, Optional, Sequence, Tuple
import torch
from detectron2.layers.nms import batched_nms
from detectron2.structures.instances import Instances
from densepose.converters import ToChartResultConverterWithConfidences
from densepose.st... | 6,824 | 33.125 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/vis/densepose_results.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import List, Optional, Tuple
import cv2
import torch
from densepose.structures import DensePoseDataRelative
from ..structures import DensePoseChartResult
from .base import Boxes, Image, MatrixVisualizer
class DensePoseR... | 12,703 | 34.685393 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/vis/densepose_results_textures.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List, Optional, Tuple
import torch
from detectron2.data.detection_utils import read_image
from ..structures import DensePoseChartResult
from .base import Boxes, Image
from .densepose_results import DensePoseResultsVisualizer
de... | 3,790 | 40.206522 | 156 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/engine/trainer.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
from collections import OrderedDict
from typing import List, Optional, Union
import torch
from torch import nn
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode
from detectron2.e... | 10,493 | 39.674419 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/inference_based_loader.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple
import torch
from torch import nn
SampledData = Any
ModelOutput = Any
def _grouper(iterable: Iterable[Any], n: int, fillvalue=None) -> Iterator[Tuple[Any]]:
"""
... | 6,786 | 38.231214 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/dataset_mapper.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
from typing import Any, Dict, List, Tuple
import torch
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.laye... | 7,018 | 40.532544 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/image_list_dataset.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Any, Callable, Dict, List, Optional, Union
import torch
from torch.utils.data.dataset import Dataset
from detectron2.data.detection_utils import read_image
ImageTransform = Callable[[torch.... | 2,478 | 32.958904 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
from collections import UserDict, defaultdict
from dataclasses import dataclass
from typing import Any, Callable, Collection, Dict, Iterable, List, Optional, Sequence, Tuple
import torch
from torch.utils.data.dataset ... | 29,823 | 39.576871 | 102 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/video/video_keyframe_dataset.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import csv
import logging
import numpy as np
from typing import Any, Callable, Dict, List, Optional, Union
import av
import torch
from torch.utils.data.dataset import Dataset
from detectron2.utils.file_io import PathManager
from ..utils impor... | 11,970 | 38.770764 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/samplers/densepose_confidence_based.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
from typing import Optional, Tuple
import torch
from densepose.converters import ToChartResultConverterWithConfidences
from .densepose_base import DensePoseBaseSampler
class DensePoseConfidenceBasedSampler(DensePoseBaseSampler):
"""
Samples D... | 4,801 | 43.055046 | 95 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/samplers/densepose_cse_confidence_based.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
from typing import Optional, Tuple
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.converters.base import IntTupleBox
from .densepose_cse_base import De... | 5,239 | 42.666667 | 92 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/samplers/densepose_base.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Dict, List, Tuple
import torch
from torch.nn import functional as F
from detectron2.structures import BoxMode, Instances
from densepose.converters import ToChartResultConverter
from densepose.converters.base import IntTupleBox, make_int_box
f... | 8,436 | 39.956311 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/samplers/densepose_uniform.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
import torch
from .densepose_base import DensePoseBaseSampler
class DensePoseUniformSampler(DensePoseBaseSampler):
"""
Samples DensePose data from DensePose predictions.
Samples for each class are drawn uniformly over all pixels estimated
... | 1,292 | 29.785714 | 82 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/samplers/densepose_cse_base.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Dict, List, Tuple
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.converters.base import IntTupleBox
from densepose.data.utils import get_class... | 5,781 | 38.333333 | 96 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/data/transform/image.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
class ImageResizeTransform:
"""
Transform that resizes images loaded from a dataset
(BGR data in NCHW channel order, typically uint8) to a format ready to be
consumed by DensePose training (BGR float32 data in NCHW channel order)
"""... | 1,484 | 37.076923 | 82 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/inference.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import fields
from typing import Any, List
import torch
from detectron2.structures import Instances
def densepose_inference(densepose_predictor_output: Any, detections: List[Instances]) -> None:
"""
Splits DensePose predictor outputs into ch... | 1,933 | 42.954545 | 94 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/hrnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (leoxiaobin@gmail.com)
# Modified by Bowen Cheng (bcheng9@illinois.edu)
# Adapted from https://github.com/... | 17,832 | 36.543158 | 126 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/test_time_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import torch
from fvcore.transforms import HFlipTransform, TransformList
from torch.nn import functional as F
from detectron2.data.transforms import RandomRotation, RotationTransform, apply_transform_gens
from detectron2.modeling.postpro... | 10,840 | 51.120192 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/filter.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.config import CfgNode
from detectron2.structures import Instances
from detectron2.structures.boxes import matched_pairwise_iou
class DensePoseDataFilter(object):
def __init__(self, cfg: CfgNode):
self... | 4,413 | 45.463158 | 95 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
def initialize_module_params(module: nn.Module) -> None:
for name, param in module.named_parameters():
if "bias" in name:
nn.init.constant_(param, 0)
elif "weight" in name:
nn.init.kaiming_normal_(para... | 360 | 29.083333 | 79 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Optional
from torch import nn
from detectron2.config import CfgNode
from .cse.embedder import Embedder
from .filter import DensePoseDataFilter
def build_densepose_predictor(cfg: CfgNode, input_channels: int):
"""
Create an instance of De... | 2,552 | 28.011364 | 82 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/hrfpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
MIT License
Copyright (c) 2019 Microsoft
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the... | 7,050 | 37.530055 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/predictors/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from ...structures import decorate_predictor_output_class_with_confidences
from ..confidence import DensePose... | 8,373 | 46.851429 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/predictors/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from densepose.modeling.confidence import DensePoseConfidenceModelConfig
from densepose.modeling.utils import... | 5,127 | 43.206897 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/predictors/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseEmbeddingPredictorOutput
from ..utils import initialize_module_params
from .regi... | 2,652 | 36.366197 | 93 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/predictors/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseChartPredictorOutput
from ..utils import initialize_module_params
from .registry import DENSEPOSE_PR... | 3,693 | 37.884211 | 94 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/cse/embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import numpy as np
import pickle
from enum import Enum
from typing import Optional
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.utils.file_io import PathManager
from .vertex_direct_embedde... | 4,988 | 37.083969 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/cse/vertex_feature_embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle
import torch
from torch import nn
from detectron2.utils.file_io import PathManager
from .utils import normalize_embeddings
class VertexFeatureEmbedder(nn.Module):
"""
Class responsible for embedding vertex features. Mappin... | 2,669 | 34.131579 | 95 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/cse/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch.nn import functional as F
def squared_euclidean_distance_matrix(pts1: torch.Tensor, pts2: torch.Tensor) -> torch.Tensor:
"""
Get squared Euclidean Distance Matrix
Computes pairwise squared Euclidean distances b... | 3,538 | 40.151163 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/cse/vertex_direct_embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle
import torch
from torch import nn
from detectron2.utils.file_io import PathManager
from .utils import normalize_embeddings
class VertexDirectEmbedder(nn.Module):
"""
Class responsible for embedding vertices. Vertex embeddi... | 1,947 | 28.969231 | 94 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/roi_heads/v1convx.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import Conv2d
from ..utils import initialize_module_params
from .registry import ROI_DENSEPOSE_HEAD_REGISTRY
@ROI_DENSEPOSE_HEAD_REG... | 2,071 | 30.876923 | 91 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/roi_heads/deeplab.py | # Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import Conv2d
from .registry import ROI_DENSEPOSE_HEAD_REGISTRY
@ROI_DENSEPOSE_HEAD_REGI... | 8,629 | 31.689394 | 94 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/roi_heads/roi_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict, List, Optional
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn as nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from detectron2.modeling import RO... | 9,239 | 40.621622 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/mask_or_segm.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
import torch
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .mask import MaskLoss
from .segm import SegmentationLoss
class MaskOrSegmentationLoss:
"""
Mask or segmenta... | 2,970 | 39.69863 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/segm.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .utils import resample_data
class SegmentationLoss:
"""
Segmentation l... | 3,355 | 38.952381 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/embed.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, Dict, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.data.meshes.catalog import MeshCatalog
from... | 6,110 | 46.742188 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/cycle_shape2shape.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import random
from typing import Tuple
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from densepose.structures.mesh import create_mesh
from .utils import sample_random_indices
clas... | 4,666 | 38.550847 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/cycle_pix2shape.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.data.meshes.catalog import MeshCatalog
from dense... | 7,248 | 45.171975 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
import torch
from torch.nn import functional as F
from detectron2.structures import BoxMode, Instances
from densepose import DensePoseDataRelati... | 17,963 | 39.642534 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/soft_embed.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, Dict, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.data.meshes.catalog import MeshCatalog
from... | 6,821 | 47.042254 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
from torch import nn
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .cycle_pix2shape import PixToShapeCycleLoss
from .cycle_shape2shape import ShapeToShapeCycleLoss
from .embed ... | 4,761 | 40.051724 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/embed_utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass
from typing import Any, Optional
import torch
from detectron2.structures import BoxMode, Instances
from .utils import AnnotationsAccumulator
@dataclass
class PackedCseAnnotations:
x_gt: torch.Tensor
y_g... | 5,243 | 37.558824 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/chart_with_confidences.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Any, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .. import DensePoseConfidenceModelConfig, DensePoseUVConfidenceType
... | 8,846 | 41.73913 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/mask.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass
from typing import Any, Iterable, List, Optional
import torch
from torch.nn import functional as F
from detectron2.structures import Instances
@dataclass
class DataForMaskLoss:
"""
Contains mask GT and e... | 5,321 | 41.238095 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/modeling/losses/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, List
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .mask_or_segm import MaskOrSegmentationLoss
from .registry import DENSEPOSE_LOSS_REGISTRY
from .util... | 14,108 | 47.484536 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/converters/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Tuple, Type
import torch
class BaseConverter:
"""
Converter base class to be reused by various converters.
Converter allows one to convert data from various source types to a particular
destination type. Each source type needs... | 3,480 | 36.031915 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/converters/segm_to_mask.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.structures import BitMasks, Boxes, BoxMode
from .base import IntTupleBox, make_int_box
from .to_mask import ImageSizeType
def resample_coarse_segm_tensor_to_bbox(coarse_segm: ... | 6,423 | 40.445161 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/converters/chart_output_to_chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict
import torch
from torch.nn import functional as F
from detectron2.structures.boxes import Boxes, BoxMode
from ..structures import (
DensePoseChartPredictorOutput,
DensePoseChartResult,
DensePoseChartResultWithConfidences,
)
from .... | 7,425 | 38.084211 | 96 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/converters/chart_output_hflip.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import fields
import torch
from densepose.structures import DensePoseChartPredictorOutput, DensePoseTransformData
def densepose_chart_predictor_output_hflip(
densepose_predictor_output: DensePoseChartPredictorOutput,
transform_data: DensePos... | 2,833 | 38.361111 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Create a new output cla... | 3,794 | 37.333333 | 93 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/data_relative.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import torch
from torch.nn import functional as F
from densepose.data.meshes.catalog import MeshCatalog
from densepose.structures.mesh import load_mesh_symmetry
from densepose.structures.transform_data import DensePoseTransformData
class DensePose... | 10,524 | 42.135246 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_cse_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Create a new output... | 2,760 | 33.949367 | 93 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass
from typing import Union
import torch
@dataclass
class DensePoseEmbeddingPredictorOutput:
"""
Predictor output that contains embedding and coarse segmentation data:
* embedding: float tensor of size ... | 1,704 | 31.169811 | 94 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/transform_data.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import BinaryIO, Dict, Union
import torch
def normalized_coords_transform(x0, y0, w, h):
"""
Coordinates transform that maps top left corner to (-1, -1) and bottom
right corner to (1, 1). Used for torch.grid_sample to initialize the
grid
... | 2,794 | 37.819444 | 128 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/mesh.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle
from functools import lru_cache
from typing import Dict, Optional, Tuple
import torch
from detectron2.utils.file_io import PathManager
from densepose.data.meshes.catalog import MeshCatalog, MeshInfo
def _maybe_copy_to_device(
... | 6,338 | 36.070175 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Any, Optional, Tuple
import torch
@dataclass
class DensePoseChartResult:
"""
DensePose results for chart-based methods represented by labels and inner
coordinates (U, V) of individual charts. Each char... | 6,914 | 36.581522 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Union
import torch
@dataclass
class DensePoseChartPredictorOutput:
"""
Predictor output that contains segmentation and inner coordinates predictions for predefined
body parts:
* coarse segmentatio... | 2,320 | 31.690141 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/densepose/structures/list.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from densepose.structures.data_relative import DensePoseDataRelative
class DensePoseList(object):
_TORCH_DEVICE_CPU = torch.device("cpu")
def __init__(self, densepose_datas, boxes_xyxy_abs, image_size_hw, device=_TORCH_DEVICE_CPU):
ass... | 2,912 | 40.028169 | 99 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_model_e2e.py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.structures import BitMasks, Boxes, Instances
from .common import get_model
# TODO(plabatut): Modularize detectron2 tests and re-use
def make_model_inputs(image, instances=None):
if instances is None:
return ... | 1,137 | 24.863636 | 87 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_image_resize_transform.py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from densepose.data.transform import ImageResizeTransform
class TestImageResizeTransform(unittest.TestCase):
def test_image_resize_1(self):
images_batch = torch.ones((3, 3, 100, 100), dtype=torch.uint8) * 100
transfo... | 637 | 36.529412 | 91 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/common.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import torch
from detectron2.config import get_cfg
from detectron2.engine import default_setup
from detectron2.modeling import build_model
from densepose import add_densepose_config
_BASE_CONFIG_DIR = "configs"
_EVOLUTION_CONFIG_SUB_DIR = "evolution"
_HRN... | 3,472 | 26.784 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_cse_annotations_accumulator.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, Instances
from densepose.modeling.losses.embed_utils import CseAnnotationsAccumulator
from densepose.structures import DensePoseDataRelative, DensePoseList
class Tes... | 8,664 | 34.954357 | 100 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_tensor_storage.py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import tempfile
import unittest
from contextlib import ExitStack
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils import comm
from densepose.evaluation.tensor_storage import (
SingleProcessFileTenso... | 10,863 | 41.272374 | 97 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_image_list_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import os
import tempfile
import unittest
import torch
from torchvision.utils import save_image
from densepose.data.image_list_dataset import ImageListDataset
from densepose.data.transform import ImageResizeTransform
@contextlib.contextmanager
def... | 1,820 | 36.163265 | 79 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_chart_based_annotations_accumulator.py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, Instances
from densepose.modeling.losses.utils import ChartBasedAnnotationsAccumulator
from densepose.structures import DensePoseDataRelative, DensePoseList
image_shape = (100, 100)
inst... | 3,535 | 44.922078 | 98 | py |
AISFormer | AISFormer-master/projects/DensePose/tests/test_video_keyframe_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import os
import random
import tempfile
import unittest
import torch
import torchvision.io as io
from densepose.data.transform import ImageResizeTransform
from densepose.data.video import RandomKFramesSelector, VideoKeyframeDataset
try:
import ... | 3,903 | 38.434343 | 96 | py |
AISFormer | AISFormer-master/projects/TridentNet/tridentnet/trident_backbone.py | # Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from detectron2.layers import Conv2d, FrozenBatchNorm2d, get_norm
from detectron2.modeling import BACKBONE_REGISTRY, ResNet, ResNetBlockBase
from detectron2.modeling.backbone.resn... | 7,846 | 34.506787 | 97 | py |
AISFormer | AISFormer-master/projects/TridentNet/tridentnet/trident_rpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.modeling import PROPOSAL_GENERATOR_REGISTRY
from detectron2.modeling.proposal_generator.rpn import RPN
from detectron2.structures import ImageList
@PROPOSAL_GENERATOR_REGISTRY.register()
class TridentRPN(RPN):
"""
Trident RPN sub... | 1,150 | 33.878788 | 90 | py |
AISFormer | AISFormer-master/projects/TridentNet/tridentnet/trident_conv.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
from detectron2.layers.wrappers import _NewEmptyTensorOp
class TridentConv(nn.Module):
def __init__(
self,
in_channels,
out_ch... | 3,868 | 34.824074 | 100 | py |
AISFormer | AISFormer-master/projects/DeepLab/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
DeepLab Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import torch
import detectron2.data.transforms as T
import detectron2.utils.comm as comm
from detectron2.checkpoint imp... | 4,471 | 31.642336 | 98 | py |
AISFormer | AISFormer-master/projects/DeepLab/deeplab/lr_scheduler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List
import torch
from detectron2.solver.lr_scheduler import _get_warmup_factor_at_iter
# NOTE: PyTorch's LR scheduler interface uses names that assume the LR changes
# only on epoch boundaries. We typically use iteration based schedule... | 2,398 | 37.079365 | 148 | py |
AISFormer | AISFormer-master/projects/DeepLab/deeplab/build_solver.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.config import CfgNode
from detectron2.solver import build_lr_scheduler as build_d2_lr_scheduler
from .lr_scheduler import WarmupPolyLR
def build_lr_scheduler(
cfg: CfgNode, optimizer: torch.optim.Optimizer
) -> torch.optim.lr_schedu... | 883 | 29.482759 | 73 | py |
AISFormer | AISFormer-master/projects/DeepLab/deeplab/resnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
import torch.nn.functional as F
from detectron2.layers import CNNBlockBase, Conv2d, get_norm
from detectron2.modeling import BACKBONE_REGISTRY
from detectron2.modeling.backbone.resnet import (
BasicStem,
BottleneckBl... | 5,797 | 35.465409 | 92 | py |
AISFormer | AISFormer-master/projects/DeepLab/deeplab/loss.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
import torch.nn as nn
class DeepLabCE(nn.Module):
"""
Hard pixel mining with cross entropy loss, for semantic segmentation.
This is used in TensorFlow DeepLab frameworks.
Paper: DeeperLab: Single-Shot Image Parser
Reference: https://g... | 1,776 | 42.341463 | 147 | py |
AISFormer | AISFormer-master/projects/DeepLab/deeplab/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Callable, Dict, List, Optional, Tuple, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import ASPP, Conv2d, De... | 14,826 | 41.484241 | 98 | py |
AISFormer | AISFormer-master/projects/TensorMask/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import glob
import os
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
exte... | 2,040 | 28.157143 | 100 | py |
AISFormer | AISFormer-master/projects/TensorMask/tensormask/arch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import math
from typing import List
import torch
import torch.nn.functional as F
from fvcore.nn import sigmoid_focal_loss_star_jit, smooth_l1_loss
from torch import nn
from detectron2.layers import ShapeSpec, batched_nms, cat, paste_masks_in_image
from det... | 42,127 | 45.091904 | 100 | py |
AISFormer | AISFormer-master/projects/TensorMask/tensormask/layers/swap_align2nat.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from tensormask import _C
class _SwapAlign2Nat(Function):
@staticmethod
def forward(ctx, X, lambda_val, pad_val):
ctx.lambda_val = lambda... | 2,083 | 32.612903 | 89 | py |
AISFormer | AISFormer-master/projects/TensorMask/tests/test_swap_align2nat.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch.autograd import gradcheck
from tensormask.layers.swap_align2nat import SwapAlign2Nat
class SwapAlign2NatTest(unittest.TestCase):
@unittest.skipIf(not torch.cuda.is_available(), "CUDA not available")... | 1,048 | 30.787879 | 84 | py |
AISFormer | AISFormer-master/projects/Panoptic-DeepLab/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Panoptic-DeepLab Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import torch
import detectron2.data.transforms as T
import detectron2.utils.comm as comm
from detectron2.checkp... | 6,147 | 34.537572 | 97 | py |
AISFormer | AISFormer-master/projects/Panoptic-DeepLab/panoptic_deeplab/post_processing.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Reference: https://github.com/bowenc0221/panoptic-deeplab/blob/master/segmentation/model/post_processing/instance_post_processing.py # noqa
from collections import Counter
import torch
import torch.nn.functional as F
def find_instance_center(center_heatmap, thres... | 9,600 | 39.855319 | 142 | py |
AISFormer | AISFormer-master/projects/Panoptic-DeepLab/panoptic_deeplab/dataset_mapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
from typing import Callable, List, Union
import torch
from panopticapi.utils import rgb2id
from detectron2.config import configurable
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils ... | 4,456 | 37.094017 | 99 | py |
AISFormer | AISFormer-master/projects/Panoptic-DeepLab/panoptic_deeplab/target_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Reference: https://github.com/bowenc0221/panoptic-deeplab/blob/aa934324b55a34ce95fea143aea1cb7a6dbe04bd/segmentation/data/transforms/target_transforms.py#L11 # noqa
import numpy as np
import torch
class PanopticDeepLabTargetGenerator(object):
"""
Generates... | 7,651 | 48.051282 | 167 | py |
AISFormer | AISFormer-master/projects/Panoptic-DeepLab/panoptic_deeplab/panoptic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Callable, Dict, List, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.data import MetadataCatalog
... | 23,513 | 40.036649 | 100 | py |
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