repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
detectron2 | detectron2/export/caffe2_inference.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from itertools import count
import torch
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from .caffe2_modeling import META_ARCH_CAFFE2_EXPORT_TYPE_MAP, convert_batched_inputs_to_c2_format
from .shared import Scoped... | 162 | 6,674 |
detectron2 | detectron2/export/torchscript.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import torch
from detectron2.utils.file_io import PathManager
from .torchscript_patch import freeze_training_mode, patch_instances
__all__ = ["scripting_with_instances", "dump_torchscript_IR"]
def scripting_with_instances(model, fields):
"""
Run... | 133 | 5,008 |
detectron2 | detectron2/export/c10.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Dict
import torch
import torch.nn.functional as F
from detectron2.layers import ShapeSpec, cat
from detectron2.layers.roi_align_rotated import ROIAlignRotated
from detectron2.modeling import poolers
from detectron2.modeling.proposal_gen... | 577 | 22,497 |
detectron2 | detectron2/export/api.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import os
import torch
from caffe2.proto import caffe2_pb2
from torch import nn
from detectron2.config import CfgNode
from detectron2.utils.file_io import PathManager
from .caffe2_inference import ProtobufDetectionModel
from .caffe2_modelin... | 231 | 9,210 |
detectron2 | detectron2/export/caffe2_modeling.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import functools
import io
import struct
import types
import torch
from detectron2.modeling import meta_arch
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.roi_heads import keypoint_head
from detectron2.structures import Boxe... | 421 | 17,142 |
detectron2 | detectron2/export/caffe2_export.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import io
import logging
import numpy as np
from typing import List
import onnx
import torch
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python.onnx.backend import Caffe2Backend
from tabulate import tabulate
from termcolo... | 203 | 7,572 |
detectron2 | detectron2/modeling/test_time_augmentation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
from contextlib import contextmanager
from itertools import count
from typing import List
import torch
from fvcore.transforms import HFlipTransform, NoOpTransform
from torch import nn
from torch.nn.parallel import DistributedDataParallel
... | 308 | 12,416 |
detectron2 | detectron2/modeling/anchor_generator.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import math
from typing import List
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, move_device_like
from detectron2.structures import Boxes, RotatedBoxes
from detectron2.utils.re... | 391 | 15,536 |
detectron2 | detectron2/modeling/poolers.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Optional
import torch
from torch import nn
from torchvision.ops import RoIPool
from detectron2.layers import ROIAlign, ROIAlignRotated, cat, nonzero_tuple, shapes_to_tensor
from detectron2.structures import Boxes
from detectron2.ut... | 264 | 11,509 |
detectron2 | detectron2/modeling/sampling.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.layers import nonzero_tuple
__all__ = ["subsample_labels"]
def subsample_labels(
labels: torch.Tensor, num_samples: int, positive_fraction: float, bg_label: int
):
"""
Return `num_samples` (or fewer, if not enough found)
... | 55 | 2,334 |
detectron2 | detectron2/modeling/postprocessing.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.structures import Instances, ROIMasks
# perhaps should rename to "resize_instance"
def detector_postprocess(
results: Instances, output_height: int, output_width: int, mask_threshold: float = 0.5
... | 101 | 4,045 |
detectron2 | detectron2/modeling/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.layers import ShapeSpec
from .anchor_generator import build_anchor_generator, ANCHOR_GENERATOR_REGISTRY
from .backbone import (
BACKBONE_REGISTRY,
FPN,
Backbone,
ResNet,
ResNetBlockBase,
build_backbone,
build_resnet_backbone... | 65 | 1,568 |
detectron2 | detectron2/modeling/box_regression.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple, Union
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch.nn import functional as F
from detectron2.layers import cat, ciou_loss, diou_loss
from detectron2.structures import Boxes
# Value for clamping la... | 370 | 15,099 |
detectron2 | detectron2/modeling/matcher.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.layers import nonzero_tuple
# TODO: the name is too general
class Matcher:
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicted element will have exac... | 128 | 6,254 |
detectron2 | detectron2/modeling/mmdet_wrapper.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
from collections import OrderedDict
from collections.abc import Mapping
from typing import Dict, List, Optional, Tuple, Union
import torch
from omegaconf import DictConfig, OmegaConf
from torch import Tensor, nn
from ... | 274 | 10,869 |
detectron2 | detectron2/modeling/roi_heads/keypoint_head.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d, ConvTranspose2d, cat, interpolate
from detectron2.structures import Instances, heatmaps_to_k... | 273 | 11,156 |
detectron2 | detectron2/modeling/roi_heads/roi_heads.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import inspect
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, nonzero_tuple
from detectron2.structures import Boxes,... | 878 | 37,699 |
detectron2 | detectron2/modeling/roi_heads/mask_head.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
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 Conv2d, ConvTranspose2d, ShapeSpec, cat, get_norm
from d... | 299 | 12,185 |
detectron2 | detectron2/modeling/roi_heads/fast_rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from d... | 570 | 25,390 |
detectron2 | detectron2/modeling/roi_heads/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .box_head import ROI_BOX_HEAD_REGISTRY, build_box_head, FastRCNNConvFCHead
from .keypoint_head import (
ROI_KEYPOINT_HEAD_REGISTRY,
build_keypoint_head,
BaseKeypointRCNNHead,
KRCNNConvDeconvUpsampleHead,
)
from .mask_head import (
ROI_MASK_HEAD... | 30 | 768 |
detectron2 | detectron2/modeling/roi_heads/cascade_rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.autograd.function import Function
from detectron2.config import configurable
from detectron2.layers import ShapeSpec
from detectron2.structures import Boxes, Instances, pairwise_iou
from detectron2.u... | 300 | 12,990 |
detectron2 | detectron2/modeling/roi_heads/box_head.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from detectron2.utils.registry import Registry... | 119 | 4,077 |
detectron2 | detectron2/modeling/roi_heads/rotated_fast_rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, batched_nms_rotated
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.events import g... | 272 | 11,175 |
detectron2 | detectron2/modeling/meta_arch/retinanet.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple
import torch
from fvcore.nn import sigmoid_focal_loss_jit
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import CycleBatchNor... | 440 | 18,266 |
detectron2 | detectron2/modeling/meta_arch/semantic_seg.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Callable, Dict, 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 Con... | 268 | 9,906 |
detectron2 | detectron2/modeling/meta_arch/panoptic_fpn.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.structures import ImageList
from ..postprocessing import detector_postprocess, sem_seg_postprocess
from ... | 270 | 10,407 |
detectron2 | detectron2/modeling/meta_arch/fcos.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import List, Optional, Tuple
import torch
from fvcore.nn import sigmoid_focal_loss_jit
from torch import nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, batched_nms
from detectron2.structures import Boxes, I... | 329 | 13,213 |
detectron2 | detectron2/modeling/meta_arch/build.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.utils.logger import _log_api_usage
from detectron2.utils.registry import Registry
META_ARCH_REGISTRY = Registry("META_ARCH") # noqa F401 isort:skip
META_ARCH_REGISTRY.__doc__ = """
Registry for meta-architectures, i.e. the whole model.
... | 26 | 814 |
detectron2 | detectron2/modeling/meta_arch/dense_detector.py | .py | import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import Tensor, nn
from detectron2.data.detection_utils import convert_image_to_rgb
from detectron2.layers import move_device_like
from detectron2.modeling import Backbone
from detectron2.structures import Boxes, ImageList, Instan... | 295 | 11,848 |
detectron2 | detectron2/modeling/meta_arch/rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.data.detection_utils import convert_image_to_rgb
from detectron2.layers import move_device_lik... | 342 | 13,896 |
detectron2 | detectron2/modeling/proposal_generator/rrpn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
from typing import Dict, List
import torch
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, batched_nms_rotated, cat
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from... | 210 | 8,807 |
detectron2 | detectron2/modeling/proposal_generator/proposal_utils.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple, Union
import torch
from detectron2.layers import batched_nms, cat, move_device_like
from detectron2.structures import Boxes, Instances
logger = logging.getLogger(__name__)
def _is_tracing():
# (fixed in... | 206 | 8,128 |
detectron2 | detectron2/modeling/proposal_generator/rpn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.config import configurable
from detectron2.layers import Conv2d, ShapeSpec, cat
from detectron2.structures import Boxes, ImageList, ... | 534 | 23,814 |
detectron2 | detectron2/modeling/proposal_generator/build.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.utils.registry import Registry
PROPOSAL_GENERATOR_REGISTRY = Registry("PROPOSAL_GENERATOR")
PROPOSAL_GENERATOR_REGISTRY.__doc__ = """
Registry for proposal generator, which produces object proposals from feature maps.
The registered object will be cal... | 25 | 836 |
detectron2 | detectron2/modeling/backbone/utils.py | .py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = [
"window_partition",
"window_unpartition",
"add_decomposed_rel_pos",
"get_abs_pos",
"PatchEmbed",
]
def window_partition(x, window_size)... | 187 | 6,360 |
detectron2 | detectron2/modeling/backbone/resnet.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.layers import (
CNNBlockBase,
Conv2d,
DeformConv,
ModulatedDeformConv,
ShapeSpec,
get_norm,
)
from... | 695 | 23,656 |
detectron2 | detectron2/modeling/backbone/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .build import build_backbone, BACKBONE_REGISTRY # noqa F401 isort:skip
from .backbone import Backbone
from .fpn import FPN
from .regnet import RegNet
from .resnet import (
BasicStem,
ResNet,
ResNetBlockBase,
build_resnet_backbone,
make_stage,... | 21 | 598 |
detectron2 | detectron2/modeling/backbone/regnet.py | .py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Implementation of RegNet models from :paper:`dds` and :paper:`scaling`.
This code is adapted from https://github.com/facebookresearch/pycls with minimal modifications.
Some code duplication exists between RegNet and ResNets (e.g., ResStem) in o... | 453 | 16,664 |
detectron2 | detectron2/modeling/backbone/mvit.py | .py | import logging
import numpy as np
import torch
import torch.nn as nn
from .backbone import Backbone
from .utils import (
PatchEmbed,
add_decomposed_rel_pos,
get_abs_pos,
window_partition,
window_unpartition,
)
logger = logging.getLogger(__name__)
__all__ = ["MViT"]
def attention_pool(x, pool, ... | 449 | 16,081 |
detectron2 | detectron2/modeling/backbone/backbone.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABCMeta, abstractmethod
from typing import Dict
import torch.nn as nn
from detectron2.layers import ShapeSpec
__all__ = ["Backbone"]
class Backbone(nn.Module, metaclass=ABCMeta):
"""
Abstract base class for network backbones.
"""
de... | 75 | 2,512 |
detectron2 | detectron2/modeling/backbone/fpn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from .backbone import Backbone
from .build import BACKBONE_REGISTRY
from .resnet import... | 269 | 10,360 |
detectron2 | detectron2/modeling/backbone/swin.py | .py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Implementation of Swin models from :paper:`swin`.
This code is adapted from https://github.com/SwinTransformer/Swin-Transformer-Object-Detection/blob/master/mmdet/models/backbones/swin_transformer.py with minimal modifications. # noqa
--------... | 696 | 25,202 |
detectron2 | detectron2/modeling/backbone/build.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.layers import ShapeSpec
from detectron2.utils.registry import Registry
from .backbone import Backbone
BACKBONE_REGISTRY = Registry("BACKBONE")
BACKBONE_REGISTRY.__doc__ = """
Registry for backbones, which extract feature maps from images
The register... | 34 | 1,015 |
detectron2 | detectron2/modeling/backbone/vit.py | .py | import logging
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn as nn
from detectron2.layers import CNNBlockBase, Conv2d, get_norm
from detectron2.modeling.backbone.fpn import _assert_strides_are_log2_contiguous
from .backbone import Backbone
from .utils import (
PatchEmbed,
... | 525 | 19,431 |
detectron2 | detectron2/model_zoo/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Model Zoo API for Detectron2: a collection of functions to create common model architectures
listed in `MODEL_ZOO.md <https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md>`_,
and optionally load their pre-trained weights.
"""
from .model_zoo impor... | 11 | 449 |
detectron2 | detectron2/model_zoo/model_zoo.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
from typing import Optional
import pkg_resources
import torch
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.modeling import build_model
class _ModelZooUrls:
... | 214 | 11,255 |
detectron2 | detectron2/checkpoint/catalog.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from detectron2.utils.file_io import PathHandler, PathManager
class ModelCatalog:
"""
Store mappings from names to third-party models.
"""
S3_C2_DETECTRON_PREFIX = "https://dl.fbaipublicfiles.com/detectron"
# MSRA models have STR... | 116 | 5,677 |
detectron2 | detectron2/checkpoint/c2_model_loading.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import re
from typing import Dict, List
import torch
def convert_basic_c2_names(original_keys):
"""
Apply some basic name conversion to names in C2 weights.
It only deals with typical backbone models.
Args:
original... | 407 | 17,696 |
detectron2 | detectron2/checkpoint/detection_checkpoint.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
import pickle
from urllib.parse import parse_qs, urlparse
import torch
from fvcore.common.checkpoint import Checkpointer
from torch.nn.parallel import DistributedDataParallel
import detectron2.utils.comm as comm
from detectron2.utils.file_io i... | 144 | 6,270 |
detectron2 | detectron2/solver/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .build import build_lr_scheduler, build_optimizer, get_default_optimizer_params
from .lr_scheduler import (
LRMultiplier,
LRScheduler,
WarmupCosineLR,
WarmupMultiStepLR,
WarmupParamScheduler,
)
__all__ = [k for k in globals().keys() if not k.s... | 12 | 336 |
detectron2 | detectron2/solver/lr_scheduler.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from bisect import bisect_right
from typing import List
import torch
from fvcore.common.param_scheduler import (
CompositeParamScheduler,
ConstantParamScheduler,
LinearParamScheduler,
ParamScheduler,
)
try:
from torch.opt... | 248 | 8,953 |
detectron2 | detectron2/solver/build.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
from collections import defaultdict
from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union
import torch
from fvcore.common.param_scheduler import (
CosineParamScheduler,
... | 324 | 12,872 |
detectron2 | detectron2/engine/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .launch import *
from .train_loop import *
__all__ = [k for k in globals().keys() if not k.startswith("_")]
# prefer to let hooks and defaults live in separate namespaces (therefore not in __all__)
# but still make them available here
from .hooks import *
from... | 20 | 475 |
detectron2 | detectron2/engine/hooks.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import itertools
import logging
import math
import operator
import os
import tempfile
import time
import warnings
from collections import Counter
import torch
from fvcore.common.checkpoint import Checkpointer
from fvcore.common.... | 691 | 25,505 |
detectron2 | detectron2/engine/train_loop.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import concurrent.futures
import logging
import numpy as np
import time
import weakref
from typing import List, Mapping, Optional
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
import detectron2.utils.comm as c... | 528 | 18,198 |
detectron2 | detectron2/engine/defaults.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file contains components with some default boilerplate logic user may need
in training / testing. They will not work for everyone, but many users may find them useful.
The behavior of functions/classes in this file is subject to chang... | 752 | 28,424 |
detectron2 | detectron2/engine/launch.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from datetime import timedelta
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils import comm
__all__ = ["DEFAULT_TIMEOUT", "launch"]
DEFAULT_TIMEOUT = timedelta(minutes=30)
def _find_free_port():
... | 124 | 3,926 |
detectron2 | detectron2/tracking/bbox_iou_tracker.py | .py | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import copy
import numpy as np
from typing import List
import torch
from detectron2.config import configurable
from detectron2.structures import Boxes, Instances
from detectron2.structures.boxes import pairwise_iou
from ..config.config imp... | 277 | 11,858 |
detectron2 | detectron2/tracking/utils.py | .py | #!/usr/bin/env python3
import numpy as np
from typing import List
from detectron2.structures import Instances
def create_prediction_pairs(
instances: Instances,
prev_instances: Instances,
iou_all: np.ndarray,
threshold: float = 0.5,
) -> List:
"""
Args:
instances: predictions from cur... | 41 | 1,106 |
detectron2 | detectron2/tracking/hungarian_tracker.py | .py | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import copy
import numpy as np
from typing import Dict
import torch
from scipy.optimize import linear_sum_assignment
from detectron2.config import configurable
from detectron2.structures import Boxes, Instances
from ..config.config import ... | 172 | 7,486 |
detectron2 | detectron2/tracking/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .base_tracker import ( # noqa
BaseTracker,
build_tracker_head,
TRACKER_HEADS_REGISTRY,
)
from .bbox_iou_tracker import BBoxIOUTracker # noqa
from .hungarian_tracker import BaseHungarianTracker # noqa
from .iou_weighted_hungarian_bbox_iou_tracker imp... | 16 | 580 |
detectron2 | detectron2/tracking/base_tracker.py | .py | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
from detectron2.config import configurable
from detectron2.utils.registry import Registry
from ..config.config import CfgNode as CfgNode_
from ..structures import Instances
TRACKER_HEADS_REGISTRY = Registry("TRACKER_HEADS")
TRACKER_HEADS_R... | 65 | 2,208 |
detectron2 | detectron2/tracking/vanilla_hungarian_bbox_iou_tracker.py | .py | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import numpy as np
from typing import List
from detectron2.config import CfgNode as CfgNode_
from detectron2.config import configurable
from detectron2.structures import Instances
from detectron2.structures.boxes import pairwise_iou
from d... | 130 | 5,288 |
detectron2 | detectron2/tracking/iou_weighted_hungarian_bbox_iou_tracker.py | .py | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import numpy as np
from typing import List
from detectron2.config import CfgNode as CfgNode_
from detectron2.config import configurable
from .base_tracker import TRACKER_HEADS_REGISTRY
from .vanilla_hungarian_bbox_iou_tracker import Vanil... | 103 | 4,142 |
detectron2 | detectron2/evaluation/evaluator.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import logging
import time
from collections import OrderedDict, abc
from contextlib import ExitStack, contextmanager
from typing import List, Union
import torch
from torch import nn
from detectron2.utils.comm import get_world_size, is_main_process
from... | 236 | 8,613 |
detectron2 | detectron2/evaluation/panoptic_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import io
import itertools
import json
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
from typing import Optional
from PIL import Image
from tabulate import tabulate
from detectron2.data import Metadat... | 200 | 7,500 |
detectron2 | detectron2/evaluation/lvis_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import json
import logging
import os
import pickle
from collections import OrderedDict
import torch
import detectron2.utils.comm as comm
from detectron2.config import CfgNode
from detectron2.data import MetadataCatalog
from detectron2.stru... | 381 | 14,986 |
detectron2 | detectron2/evaluation/rotated_coco_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import json
import numpy as np
import os
import torch
from pycocotools.cocoeval import COCOeval, maskUtils
from detectron2.structures import BoxMode, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.file_io import PathManager
from .coco_evalu... | 210 | 7,619 |
detectron2 | detectron2/evaluation/pascal_voc_evaluation.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import os
import tempfile
import xml.etree.ElementTree as ET
from collections import OrderedDict, defaultdict
from functools import lru_cache
import torch
from detectron2.data import MetadataCatalog
from detec... | 301 | 10,856 |
detectron2 | detectron2/evaluation/coco_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import itertools
import json
import logging
import numpy as np
import os
import pickle
from collections import OrderedDict
import pycocotools.mask as mask_util
import torch
from pycocotools.coco import COCO
from pycocotools.cocoe... | 723 | 30,391 |
detectron2 | detectron2/evaluation/testing.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import pprint
import sys
from collections.abc import Mapping
def print_csv_format(results):
"""
Print main metrics in a format similar to Detectron,
so that they are easy to copypaste into a spreadsheet.
Args:
... | 86 | 2,614 |
detectron2 | detectron2/evaluation/fast_eval_api.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
import time
from pycocotools.cocoeval import COCOeval
from detectron2 import _C
logger = logging.getLogger(__name__)
class COCOeval_opt(COCOeval):
"""
This is a slightly modified version of the original COCO API... | 122 | 5,078 |
detectron2 | detectron2/evaluation/cityscapes_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import glob
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
import torch
from PIL import Image
from detectron2.data import MetadataCatalog
from detectron2.utils import comm
from detectron2.utils.file_io import PathManage... | 200 | 8,566 |
detectron2 | detectron2/evaluation/sem_seg_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import json
import logging
import numpy as np
import os
from collections import OrderedDict
from typing import Optional, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from detectron2.data import DatasetCatalog, Metadata... | 266 | 11,361 |
detectron2 | detectron2/config/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .compat import downgrade_config, upgrade_config
from .config import CfgNode, get_cfg, global_cfg, set_global_cfg, configurable
from .instantiate import instantiate
from .lazy import LazyCall, LazyConfig
__all__ = [
"CfgNode",
"get_cfg",
"global_cfg",
... | 25 | 599 |
detectron2 | detectron2/config/defaults.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .config import CfgNode as CN
# NOTE: given the new config system
# (https://detectron2.readthedocs.io/en/latest/tutorials/lazyconfigs.html),
# we will stop adding new functionalities to default CfgNode.
# ---------------------------------------------------------... | 657 | 30,045 |
detectron2 | detectron2/config/lazy.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import ast
import builtins
import collections.abc as abc
import importlib
import inspect
import logging
import os
import uuid
from contextlib import contextmanager
from copy import deepcopy
from dataclasses import is_dataclass
from typing import List, Tuple, Union
imp... | 440 | 16,584 |
detectron2 | detectron2/config/compat.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Backward compatibility of configs.
Instructions to bump version:
+ It's not needed to bump version if new keys are added.
It's only needed when backward-incompatible changes happen
(i.e., some existing keys disappear, or the meaning of a key changes)
+ To bump... | 230 | 7,890 |
detectron2 | detectron2/config/instantiate.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections.abc as abc
import dataclasses
import logging
from typing import Any
from detectron2.utils.registry import _convert_target_to_string, locate
__all__ = ["dump_dataclass", "instantiate"]
def dump_dataclass(obj: Any):
"""
Dump a dataclass re... | 89 | 3,015 |
detectron2 | detectron2/config/config.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import functools
import inspect
import logging
from fvcore.common.config import CfgNode as _CfgNode
from detectron2.utils.file_io import PathManager
class CfgNode(_CfgNode):
"""
The same as `fvcore.common.config.CfgNode`, but differe... | 266 | 9,211 |
detectron2 | detectron2/utils/logger.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import atexit
import functools
import logging
import os
import sys
import time
from collections import Counter
import torch
from tabulate import tabulate
from termcolor import colored
from detectron2.utils.file_io import PathManager
__all__ = ["setup_logger", "log_fi... | 262 | 8,560 |
detectron2 | detectron2/utils/develop.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
"""Utilities for developers only.
These are not visible to users (not automatically imported). And should not
appeared in docs."""
# adapted from https://github.com/tensorpack/tensorpack/blob/master/tensorpack/utils/develop.py
def create_dummy_class(klass, dependency... | 60 | 1,851 |
detectron2 | detectron2/utils/analysis.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import typing
from typing import Any, List
import fvcore
from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
from torch import nn
from detectron2.export import TracingAdapter
__all__ = [
"activation_... | 189 | 6,017 |
detectron2 | detectron2/utils/collect_env.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import numpy as np
import os
import re
import subprocess
import sys
from collections import defaultdict
import PIL
import torch
import torchvision
from tabulate import tabulate
__all__ = ["collect_env_info"]
def collect_torch_env():
try:
... | 264 | 8,829 |
detectron2 | detectron2/utils/file_io.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from iopath.common.file_io import HTTPURLHandler, OneDrivePathHandler, PathHandler
from iopath.common.file_io import PathManager as PathManagerBase
__all__ = ["PathManager", "PathHandler"]
PathManager = PathManagerBase()
"""
This is a detectron2 project-specific Pat... | 40 | 1,237 |
detectron2 | detectron2/utils/video_visualizer.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List
import pycocotools.mask as mask_util
from detectron2.structures import Instances
from detectron2.utils.visualizer import (
ColorMode,
Visualizer,
_create_text_labels,
_PanopticPrediction,
)
from .colormap imp... | 288 | 11,316 |
detectron2 | detectron2/utils/registry.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import pydoc
from fvcore.common.registry import Registry # for backward compatibility.
"""
``Registry`` and `locate` provide ways to map a string (typically found
in config files) to callable objects.
"""
__all__ = ["Registry", "locate"]
de... | 61 | 1,874 |
detectron2 | detectron2/utils/testing.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import numpy as np
import os
import re
import tempfile
import unittest
from typing import Callable
import torch
import torch.onnx.symbolic_helper as sym_help
from torch._C import ListType
from torch.onnx import register_custom_op_symbolic
from detectron2 imp... | 465 | 18,211 |
detectron2 | detectron2/utils/comm.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
This file contains primitives for multi-gpu communication.
This is useful when doing distributed training.
"""
import functools
import numpy as np
import torch
import torch.distributed as dist
_LOCAL_PROCESS_GROUP = None
_MISSING_LOCAL_PG_ERROR = (
"Local pro... | 239 | 7,237 |
detectron2 | detectron2/utils/tracing.py | .py | import inspect
import torch
from detectron2.utils.env import TORCH_VERSION
try:
from torch.fx._symbolic_trace import is_fx_tracing as is_fx_tracing_current
tracing_current_exists = True
except ImportError:
tracing_current_exists = False
try:
from torch.fx._symbolic_trace import _orig_module_call
... | 74 | 2,602 |
detectron2 | detectron2/utils/visualizer.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
import numpy as np
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import pycocotools.mask as mask_util
import torch
from matplotlib.back... | 1,290 | 52,044 |
detectron2 | detectron2/utils/colormap.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
An awesome colormap for really neat visualizations.
Copied from Detectron, and removed gray colors.
"""
import numpy as np
import random
__all__ = ["colormap", "random_color", "random_colors"]
# fmt: off
# RGB:
_COLORS = np.array(
[
0.000, 0.447, 0.... | 159 | 4,096 |
detectron2 | detectron2/utils/serialize.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import cloudpickle
class PicklableWrapper:
"""
Wrap an object to make it more picklable, note that it uses
heavy weight serialization libraries that are slower than pickle.
It's best to use it only on closures (which are usually not picklable).
T... | 33 | 1,056 |
detectron2 | detectron2/utils/torch_version_utils.py | .py | from packaging import version
def min_torch_version(min_version: str) -> bool:
"""
Returns True when torch's version is at least `min_version`.
"""
try:
import torch
except ImportError:
return False
installed_version = version.parse(torch.__version__.split("+")[0])
min_ve... | 16 | 399 |
detectron2 | detectron2/utils/env.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import importlib.util
import logging
import numpy as np
import os
import random
import sys
from datetime import datetime
import torch
__all__ = ["seed_all_rng"]
TORCH_VERSION = tuple(int(x) for x in torch.__version__.split(".")[:2])
"""
PyTorch vers... | 172 | 5,686 |
detectron2 | detectron2/utils/memory.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from contextlib import contextmanager
from functools import wraps
import torch
__all__ = ["retry_if_cuda_oom"]
@contextmanager
def _ignore_torch_cuda_oom():
"""
A context which ignores CUDA OOM exception from pytorch.
"""
try:
... | 85 | 2,583 |
detectron2 | detectron2/utils/events.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import json
import logging
import os
import time
from collections import defaultdict
from contextlib import contextmanager
from functools import cached_property
from typing import Optional
import torch
from fvcore.common.history_buffer import HistoryBuf... | 558 | 19,613 |
detectron2 | detectron2/structures/keypoints.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Any, List, Tuple, Union
import torch
from torch.nn import functional as F
class Keypoints:
"""
Stores keypoint **annotation** data. GT Instances have a `gt_keypoints` property
containing the x,y location and visibilit... | 236 | 9,008 |
detectron2 | detectron2/structures/masks.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import numpy as np
from typing import Any, Iterator, List, Union
import pycocotools.mask as mask_util
import torch
from torch import device
from detectron2.layers.roi_align import ROIAlign
from detectron2.utils.memory import retry_if_cuda_... | 540 | 19,848 |
detectron2 | detectron2/structures/image_list.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import division
from typing import Any, Dict, List, Optional, Tuple
import torch
from torch import device
from torch.nn import functional as F
from detectron2.layers.wrappers import move_device_like, shapes_to_tensor
from detectron2.utils.torch_version... | 137 | 5,843 |
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