python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import functools
import json
import multiprocessing as mp
import numpy as np
import os
import time
from fvcore.common.download import download
from panopticapi.utils import rgb2id
from PIL import Image
from detectron2.da... | banmo-main | third_party/detectron2_old/datasets/prepare_panoptic_fpn.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
from pathlib import Path
import tqdm
from PIL import Image
def convert(input, output):
img = np.asarray(Image.open(input))
assert img.dtype == np.uint8
img = img - 1 # 0 (ignore)... | banmo-main | third_party/detectron2_old/datasets/prepare_ade20k_sem_seg.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.utils.registry import _convert_target_to_string, locate
class A:
class B:
pass
class TestLocate(unittest.TestCase):
def _test_obj(self, obj):
... | banmo-main | third_party/detectron2_old/tests/test_registry.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import os
import tempfile
import time
import unittest
from unittest import mock
import torch
from fvcore.common.checkpoint import Checkpointer
from torch import nn
from detectron2.config import configurable, get_cfg
from detectron2.engine import DefaultTr... | banmo-main | third_party/detectron2_old/tests/test_engine.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
import tempfile
import unittest
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.structures import BoxMode, Instances, RotatedBoxes
from detectron2.utils.visualizer import ColorMo... | banmo-main | third_party/detectron2_old/tests/test_visualizer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from detectron2.utils.collect_env import collect_env_info
class TestProjects(unittest.TestCase):
def test_import(self):
from detectron2.projects import point_rend
_ = point_rend.add_pointrend_config
import detectron2.pro... | banmo-main | third_party/detectron2_old/tests/test_packaging.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.utils.analysis import flop_count_operators, parameter_count
from detectron2.utils.testing import get_model_no_weights
class RetinaNetTest(unittest.TestCase):
def setUp(self):
self.model = get_model_no_weight... | banmo-main | third_party/detectron2_old/tests/test_model_analysis.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| banmo-main | third_party/detectron2_old/tests/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
import numpy as np
from unittest import TestCase
import torch
from fvcore.common.param_scheduler import CosineParamScheduler, MultiStepParamScheduler
from torch import nn
from detectron2.solver import LRMultiplier, WarmupParamScheduler
class TestSchedul... | banmo-main | third_party/detectron2_old/tests/test_scheduler.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import copy
import os
import tempfile
import unittest
import torch
from detectron2 import model_zoo
from detectron2.utils.logger import setup_logger
from detectron2.utils.testing import get_sample_coco_image
@unittest.skipIf(os.environ.get("... | banmo-main | third_party/detectron2_old/tests/test_export_caffe2.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import os
import tempfile
import unittest
from detectron2.utils.events import CommonMetricPrinter, EventStorage, JSONWriter
class TestEventWriter(unittest.TestCase):
def testScalar(self):
with tempfile.TemporaryDirectory(
prefix="... | banmo-main | third_party/detectron2_old/tests/test_events.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import os
import tempfile
import unittest
import torch
from torch import Tensor, nn
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.config.instantiate import dump_dataclass, instantiate
from detectron2.export import ... | banmo-main | third_party/detectron2_old/tests/test_export_torchscript.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
from detectron2 import model_zoo
from detectron2.config import instantiate
from detectron2.modeling import FPN, GeneralizedRCNN
logger = logging.getLogger(__name__)
class TestModelZoo(unittest.TestCase):
def test_get_returns_model... | banmo-main | third_party/detectron2_old/tests/test_model_zoo.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from collections import OrderedDict
import torch
from torch import nn
from detectron2.checkpoint.c2_model_loading import align_and_update_state_dicts
from detectron2.utils.logger import setup_logger
class TestCheckpointer(unittest.TestCase):
def ... | banmo-main | third_party/detectron2_old/tests/test_checkpoint.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import torch
from detectron2.layers import batched_nms
from detectron2.utils.testing import random_boxes
class TestNMS(unittest.TestCase):
def _create_tensors(self... | banmo-main | third_party/detectron2_old/tests/layers/test_nms.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch import nn
from detectron2.layers import ASPP, DepthwiseSeparableConv2d, FrozenBatchNorm2d
from detectron2.modeling.backbone.resnet import BasicStem, ResNet
"""
Test for misc layers.
"""
class TestBlocks(unittest.TestCase):
... | banmo-main | third_party/detectron2_old/tests/layers/test_blocks.py |
banmo-main | third_party/detectron2_old/tests/layers/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from copy import copy
import cv2
import torch
from fvcore.common.benchmark import benchmark
from torch.nn import functional as F
from detectron2.layers.roi_align import ROIAlign, roi_align
class ROIAlignTest(unittest.TestCase):
... | banmo-main | third_party/detectron2_old/tests/layers/test_roi_align.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
import torch
from detectron2.layers import DeformConv, ModulatedDeformConv
class DeformableTest(unittest.TestCase):
@unittest.skipIf(not torch.cuda.is_available(), "Deformable not supported for cpu")
def test_forward_output... | banmo-main | third_party/detectron2_old/tests/layers/test_deformable.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import io
import numpy as np
import unittest
from collections import defaultdict
import torch
import tqdm
from fvcore.common.benchmark import benchmark
from pycocotools.coco import COCO
from tabulate import tabulate
from torch... | banmo-main | third_party/detectron2_old/tests/layers/test_mask_ops.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import cv2
import torch
from torch.autograd import Variable, gradcheck
from detectron2.layers.roi_align import ROIAlign
from detectron2.layers.roi_align_rotated import ROIAlignRotated
logger = logging.getLogger(__name__)
class ROIAlig... | banmo-main | third_party/detectron2_old/tests/layers/test_roi_align_rotated.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import unittest
from copy import deepcopy
import torch
from torchvision import ops
from detectron2.layers import batched_nms, batched_nms_rotated, nms_rotated
from de... | banmo-main | third_party/detectron2_old/tests/layers/test_nms_rotated.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from typing import List, Sequence, Tuple
import torch
from detectron2.structures import ImageList
from detectron2.utils.env import TORCH_VERSION
class TestImageList(unittest.TestCase):
@unittest.skipIf(TORCH_VERSION < (1, 7), "Insufficient pytor... | banmo-main | third_party/detectron2_old/tests/structures/test_imagelist.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.structures.masks import BitMasks, PolygonMasks, polygons_to_bitmask
class TestBitMask(unittest.TestCase):
def test_get_bounding_box(self):
masks = torch.tensor(
[
[
... | banmo-main | third_party/detectron2_old/tests/structures/test_masks.py |
banmo-main | third_party/detectron2_old/tests/structures/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import random
import unittest
import torch
from fvcore.common.benchmark import benchmark
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from... | banmo-main | third_party/detectron2_old/tests/structures/test_rotated_boxes.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import math
import numpy as np
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, pairwise_ioa, pairwise_iou
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.testing import reload_script_model
class TestBox... | banmo-main | third_party/detectron2_old/tests/structures/test_boxes.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch import Tensor
from detectron2.export.torchscript import patch_instances
from detectron2.structures import Boxes, Instances
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.testing import convert_scripted_inst... | banmo-main | third_party/detectron2_old/tests/structures/test_instances.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
import unittest
import yaml
from omegaconf import OmegaConf
from omegaconf import __version__ as oc_version
from detectron2.config import instantiate, LazyCall as L
from detectron2.layers import ShapeSpec
OC_VERSION = tuple(int(x) for x in ... | banmo-main | third_party/detectron2_old/tests/config/test_instantiate_config.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from itertools import count
from detectron2.config import LazyCall as L
from .dir1.dir1_a import dir1a_dict, dir1a_str
dir1a_dict.a = "modified"
# modification above won't affect future imports
from .dir1.dir1_b import dir1b_dict, dir1b_str
lazyobj = L(count)(x=d... | banmo-main | third_party/detectron2_old/tests/config/root_cfg.py |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
import unittest
import torch
from omegaconf import OmegaConf
from detectron2 import model_zoo
from detectron2.config import configurable, downgrade_config, get_cfg, upgrade_config
from detectron2.layers import ShapeSpe... | banmo-main | third_party/detectron2_old/tests/config/test_yacs_config.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import unittest
import tempfile
from itertools import count
from detectron2.config import LazyConfig, LazyCall as L
class TestLazyPythonConfig(unittest.TestCase):
def setUp(self):
self.root_filename = os.path.join(os.path.dirname(__file__), "ro... | banmo-main | third_party/detectron2_old/tests/config/test_lazy_config.py |
# Copyright (c) Facebook, Inc. and its affiliates.
dir1a_str = "base_a_1"
dir1a_dict = {"a": 1, "b": 2}
| banmo-main | third_party/detectron2_old/tests/config/dir1/dir1_a.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.config import LazyConfig
# equivalent to relative import
dir1a_str, dir1a_dict = LazyConfig.load_rel("dir1_a.py", ("dir1a_str", "dir1a_dict"))
dir1b_str = dir1a_str + "_from_b"
dir1b_dict = dir1a_dict
# Every import is a reload: not modified by other... | banmo-main | third_party/detectron2_old/tests/config/dir1/dir1_b.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
import detectron2.export.torchscript # apply patch # noqa
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.backbone import build_r... | banmo-main | third_party/detectron2_old/tests/modeling/test_backbone.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from typing import List
import torch
from detectron2.config import get_cfg
from detectron2.modeling.matcher import Matcher
class TestMatcher(unittest.TestCase):
def test_scriptability(self):
cfg = get_cfg()
anchor_matcher = Matche... | banmo-main | third_party/detectron2_old/tests/modeling/test_matcher.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.modeling.poolers import ROIPooler, _fmt_box_list
from detectron2.structures import Boxes, RotatedBoxes
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.testing import random_boxes
logger ... | banmo-main | third_party/detectron2_old/tests/modeling/test_roi_pooler.py |
import unittest
from detectron2.layers import ShapeSpec
from detectron2.modeling.mmdet_wrapper import MMDetBackbone, MMDetDetector
try:
import mmdet.models # noqa
HAS_MMDET = True
except ImportError:
HAS_MMDET = False
@unittest.skipIf(not HAS_MMDET, "mmdet not available")
class TestMMDetWrapper(unitte... | banmo-main | third_party/detectron2_old/tests/modeling/test_mmdet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import numpy as np
import unittest
from contextlib import contextmanager
from copy import deepcopy
import torch
from detectron2.structures import BitMasks, Boxes, ImageList, Instances
from detectron2.utils.events import EventStorage
from detectron2.... | banmo-main | third_party/detectron2_old/tests/modeling/test_model_e2e.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator, RotatedAnchorGenerator
logger = logging.getLogger(__name__)
class Test... | banmo-main | third_party/detectron2_old/tests/modeling/test_anchor_generator.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
from copy import deepcopy
import torch
from torch import nn
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.export.torchscript_patch import (
freeze_training_mode,
patch_builtin_len,
pat... | banmo-main | third_party/detectron2_old/tests/modeling/test_roi_heads.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import sys
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.export import scripting_with_instances
from detectron2.layers import ShapeSpec
from detectron2.modeling.backbone import build_backbone
from detectron2.modeling... | banmo-main | third_party/detectron2_old/tests/modeling/test_rpn.py |
banmo-main | third_party/detectron2_old/tests/modeling/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
from detectron2.modeling.roi_heads.fast_rcnn import FastRCNNOutputLayers
from detectron2.modeli... | banmo-main | third_party/detectron2_old/tests/modeling/test_fast_rcnn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.testing import random_boxes
logger = logging.getLogger(__name__)
... | banmo-main | third_party/detectron2_old/tests/modeling/test_box2box_transform.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import numpy as np
import os
import tempfile
import unittest
import pycocotools.mask as mask_util
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data.datasets.coco import convert_to_coco_dict, load_coco_json
from detectron2.str... | banmo-main | third_party/detectron2_old/tests/data/test_coco.py |
banmo-main | third_party/detectron2_old/tests/data/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from detectron2.data.transforms.transform import RotationTransform
class TestRotationTransform(unittest.TestCase):
def assertEqualsArrays(self, a1, a2):
self.assertTrue(np.allclose(a1, a2))
def randomData(self, h=5... | banmo-main | third_party/detectron2_old/tests/data/test_rotation_transform.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import unittest
from functools import partial
from iopath.common.file_io import LazyPath
from detectron2.data.build import DatasetFromList
def _a_slow_func(x):
return "path/{}".format(x)
class TestDatasetFromList(unittest.TestCase):
def test_usi... | banmo-main | third_party/detectron2_old/tests/data/test_dataset.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import unittest
from unittest import mock
from PIL import Image, ImageOps
from detectron2.config import get_cfg
from detectron2.data import detection_utils
from detectron2.data import transforms as T
from dete... | banmo-main | third_party/detectron2_old/tests/data/test_transforms.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import os
import unittest
import pycocotools.mask as mask_util
from detectron2.data import MetadataCatalog, detection_utils
from detectron2.data import transforms as T
from detectron2.structures import BitMasks, BoxMode
from detectron2.... | banmo-main | third_party/detectron2_old/tests/data/test_detection_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import json
import numpy as np
import os
import tempfile
import unittest
import torch
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from detectron2.data import DatasetCatalog
from detectron2.evaluat... | banmo-main | third_party/detectron2_old/tests/data/test_coco_evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import math
import operator
import unittest
import torch
from torch.utils import data
from torch.utils.data.sampler import SequentialSampler
from detectron2.data.build import worker_init_reset_seed
from detectron2.data.common import DatasetFromList, T... | banmo-main | third_party/detectron2_old/tests/data/test_sampler.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path ... | banmo-main | third_party/detectron2_old/docs/conf.py |
# An example config to train a mmdetection model using detectron2.
from ..common.data.coco import dataloader
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.optim import SGD as optimizer
from ..common.train import train
from detectron2.modeling.mmdet_wrapper import MMDetDetector
fro... | banmo-main | third_party/detectron2_old/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py |
"""
An example config file to train a ImageNet classifier with detectron2.
Model and dataloader both come from torchvision.
This shows how to use detectron2 as a general engine for any new models and tasks.
To run, use the following command:
python tools/lazyconfig_train_net.py --config-file configs/Misc/torchvision_... | banmo-main | third_party/detectron2_old/configs/Misc/torchvision_imagenet_R_50.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco_keypoint import dataloader
from ..common.models.keypoint_rcnn_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
| banmo-main | third_party/detectron2_old/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.retinanet import model
from ..common.train import train
dataloader.train.mapper.use_instance_mask = False
model.backbone.bottom_up.freeze_at = ... | banmo-main | third_party/detectron2_old/configs/COCO-Detection/retinanet_R_50_FPN_1x.py |
from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
def default_X_scheduler(num_X):
"""
Returns the config for a default multi-step LR scheduler such as "1x", "3x",
commonly referred to in papers,... | banmo-main | third_party/detectron2_old/configs/common/coco_schedule.py |
# Common training-related configs that are designed for "tools/lazyconfig_train_net.py"
# You can use your own instead, together with your own train_net.py
train = dict(
output_dir="./output",
init_checkpoint="detectron2://ImageNetPretrained/MSRA/R-50.pkl",
max_iter=90000,
amp=dict(enabled=False), # op... | banmo-main | third_party/detectron2_old/configs/common/train.py |
import torch
from detectron2.config import LazyCall as L
from detectron2.solver.build import get_default_optimizer_params
SGD = L(torch.optim.SGD)(
params=L(get_default_optimizer_params)(
# params.model is meant to be set to the model object, before instantiating
# the optimizer.
weight_de... | banmo-main | third_party/detectron2_old/configs/common/optim.py |
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling import PanopticFPN
from detectron2.modeling.meta_arch.semantic_seg import SemSegFPNHead
from .mask_rcnn_fpn import model
model._target_ = PanopticFPN
model.sem_seg_head = L(SemSegFPNHead)(
input_shape={
... | banmo-main | third_party/detectron2_old/configs/common/models/panoptic_fpn.py |
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.poolers import ROIPooler
from detectron2.modeling.roi_heads import KRCNNConvDeconvUpsampleHead
from .mask_rcnn_fpn import model
[model.roi_heads.pop(x) for x in ["mask_in_features", "mask_pooler", "mask_head"]... | banmo-main | third_party/detectron2_old/configs/common/models/keypoint_rcnn_fpn.py |
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone import BasicStem, BottleneckBlock, ResNet
from detectron2.modeling.box_r... | banmo-main | third_party/detectron2_old/configs/common/models/mask_rcnn_c4.py |
# -*- coding: utf-8 -*-
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import RetinaNet
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone.fpn import LastLevelP6P7
from detectron2.modeling.bac... | banmo-main | third_party/detectron2_old/configs/common/models/retinanet.py |
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import FastRCNNOutputLayers, FastRCNNConvFCHead, CascadeROIHeads
from .mask_rcnn_fpn imp... | banmo-main | third_party/detectron2_old/configs/common/models/cascade_rcnn.py |
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator
from detectron2.modeling.backbone.fpn import LastLevelMaxPool
from detectron2.modeling.backbone import Bas... | banmo-main | third_party/detectron2_old/configs/common/models/mask_rcnn_fpn.py |
from omegaconf import OmegaConf
import detectron2.data.transforms as T
from detectron2.config import LazyCall as L
from detectron2.data import (
DatasetMapper,
build_detection_test_loader,
build_detection_train_loader,
get_detection_dataset_dicts,
)
from detectron2.evaluation import COCOEvaluator
data... | banmo-main | third_party/detectron2_old/configs/common/data/coco.py |
from detectron2.config import LazyCall as L
from detectron2.evaluation import (
COCOEvaluator,
COCOPanopticEvaluator,
DatasetEvaluators,
SemSegEvaluator,
)
from .coco import dataloader
dataloader.train.dataset.names = "coco_2017_train_panoptic_separated"
dataloader.train.dataset.filter_empty = False
d... | banmo-main | third_party/detectron2_old/configs/common/data/coco_panoptic_separated.py |
from detectron2.data.detection_utils import create_keypoint_hflip_indices
from .coco import dataloader
dataloader.train.dataset.min_keypoints = 1
dataloader.train.dataset.names = "keypoints_coco_2017_train"
dataloader.test.dataset.names = "keypoints_coco_2017_val"
dataloader.train.mapper.update(
use_instance_mas... | banmo-main | third_party/detectron2_old/configs/common/data/coco_keypoint.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco_panoptic_separated import dataloader
from ..common.models.panoptic_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
| banmo-main | third_party/detectron2_old/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py |
from .mask_rcnn_R_101_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_101_FPN_200ep_LSJ.py |
from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone import RegNet
from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
# Config source:
# https://git... | banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py |
from .mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py |
from .mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py |
from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_50_FPN_200ep_LSJ.py |
from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone import RegNet
from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
# Config source:
# https://git... | banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py |
import detectron2.data.transforms as T
from detectron2.config.lazy import LazyCall as L
from detectron2.layers.batch_norm import NaiveSyncBatchNorm
from detectron2.solver import WarmupParamScheduler
from fvcore.common.param_scheduler import CosineParamScheduler
from ..common.data.coco import dataloader
from ..common.m... | banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_50_FPN_100ep_LSJ.py |
from .mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py |
from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_50_FPN_400ep_LSJ.py |
from .mask_rcnn_R_101_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 4 # 100ep -> 400ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_101_FPN_400ep_LSJ.py |
from .mask_rcnn_R_50_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
model.backbone.bottom_up.stages.depth = 101
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_R_101_FPN_100ep_LSJ.py |
from .mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ import (
dataloader,
lr_multiplier,
model,
optimizer,
train,
)
train.max_iter *= 2 # 100ep -> 200ep
| banmo-main | third_party/detectron2_old/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone impor... | banmo-main | third_party/detectron2_old/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
from detectron2.config import LazyCall as L
from detectron2.modeling.backbone impor... | banmo-main | third_party/detectron2_old/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py |
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_fpn import model
from ..common.train import train
model.backbone.bottom_up.freeze_at = 2
| banmo-main | third_party/detectron2_old/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py |
from ..common.train import train
from ..common.optim import SGD as optimizer
from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
from ..common.data.coco import dataloader
from ..common.models.mask_rcnn_c4 import model
model.backbone.freeze_at = 2
| banmo-main | third_party/detectron2_old/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import argparse
template = """<details><summary> install </summary><pre><code>\
python -m pip install detectron2{d2_version} -f \\
https://dl.fbaipublicfiles.com/detectron2/wheels/{cuda}/torch{torch}/index.html
</code><... | banmo-main | third_party/detectron2_old/dev/packaging/gen_install_table.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .utils.env import setup_environment
setup_environment()
# This line will be programatically read/write by setup.py.
# Leave them at the bottom of this file and don't touch them.
__version__ = "0.4"
| banmo-main | third_party/detectron2_old/detectron2/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from detectron2.utils.file_io import PathHandler, PathManager
class ModelCatalog(object):
"""
Store mappings from names to third-party models.
"""
S3_C2_DETECTRON_PREFIX = "https://dl.fbaipublicfiles.com/detectron"
# MSRA models ... | banmo-main | third_party/detectron2_old/detectron2/checkpoint/catalog.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import re
from typing import Dict, List
import torch
from tabulate import tabulate
def convert_basic_c2_names(original_keys):
"""
Apply some basic name conversion to names in C2 weights.
It only deals with typical backbone model... | banmo-main | third_party/detectron2_old/detectron2/checkpoint/c2_model_loading.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# File:
from . import catalog as _UNUSED # register the handler
from .detection_checkpoint import DetectionCheckpointer
from fvcore.common.checkpoint import Checkpointer, PeriodicCheckpointer
__all__ = ["Checkpointer", "PeriodicCheckpointer"... | banmo-main | third_party/detectron2_old/detectron2/checkpoint/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
import pickle
import torch
from fvcore.common.checkpoint import Checkpointer
from torch.nn.parallel import DistributedDataParallel
import detectron2.utils.comm as comm
from detectron2.utils.env import TORCH_VERSION
from detectron2.utils.file_i... | banmo-main | third_party/detectron2_old/detectron2/checkpoint/detection_checkpoint.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from functools import lru_cache
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from torchvision.ops import deform_conv2d
from detectron2... | banmo-main | third_party/detectron2_old/detectron2/layers/deform_conv.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from collections import namedtuple
class ShapeSpec(namedtuple("_ShapeSpec", ["channels", "height", "width", "stride"])):
"""
A simple structure that contains basic shape specification about a tensor.
It is often used as the auxilia... | banmo-main | third_party/detectron2_old/detectron2/layers/shape_spec.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
from torchvision.ops import roi_align
# NOTE: torchvision's RoIAlign has a different default aligned=False
class ROIAlign(nn.Module):
def __init__(self, output_size, spatial_scale, sampling_ratio, aligned=True):
"""
Args:
... | banmo-main | third_party/detectron2_old/detectron2/layers/roi_align.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from detectron2 import _C
class _ROIAlignRotated(Function):
@staticmethod
def forward(ctx, ... | banmo-main | third_party/detectron2_old/detectron2/layers/roi_align_rotated.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torchvision.ops import boxes as box_ops
from torchvision.ops import nms # BC-compat
from detectron2.utils.env import TORCH_VERSION
if TORCH_VERSION < (1, 7):
from detectron2 import _C
nms_ro... | banmo-main | third_party/detectron2_old/detectron2/layers/nms.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .batch_norm import FrozenBatchNorm2d, get_norm, NaiveSyncBatchNorm
from .deform_conv import DeformConv, ModulatedDeformConv
from .mask_ops import paste_masks_in_image
from .nms import batched_nms, batched_nms_rotated, nms, nms_rotated
from .roi_align import ROIAli... | banmo-main | third_party/detectron2_old/detectron2/layers/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from copy import deepcopy
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from .batch_norm import get_norm
from .blocks import DepthwiseSeparableConv2d
from .wrappers import Conv2d
class ASPP(nn.Mod... | banmo-main | third_party/detectron2_old/detectron2/layers/aspp.py |
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