python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Tuple
import torch
from PIL import Image
from torch.nn import functional as F
from detectron2.structures import Boxes
__all__ = ["paste_masks_in_image"]
BYTES_PER_FLOAT = 4
# TODO: This memory limit may be too much or too littl... | banmo-main | third_party/detectron2_old/detectron2/layers/mask_ops.py |
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Wrappers around on some nn functions, mainly to support empty tensors.
Ideally, add support directly in PyTorch to empty tensors in those functions.
These can be removed once https://github.com/pytorch/pytorch/issues/12013
is implemented
"""
from typing import L... | banmo-main | third_party/detectron2_old/detectron2/layers/wrappers.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
from torch import nn
from .batch_norm import FrozenBatchNorm2d, get_norm
from .wrappers import Conv2d
"""
CNN building blocks.
"""
class CNNBlockBase(nn.Module):
"""
A CNN block is assume... | banmo-main | third_party/detectron2_old/detectron2/layers/blocks.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
import torch.distributed as dist
from fvcore.nn.distributed import differentiable_all_reduce
from torch import nn
from torch.nn import functional as F
from detectron2.utils import comm, env
from .wrappers import BatchNorm2d
class FrozenB... | banmo-main | third_party/detectron2_old/detectron2/layers/batch_norm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
from detectron2 import _C
def pairwise_iou_rotated(boxes1, boxes2):
"""
Return intersection-over-union (Jaccard index) of boxes.
Both sets of boxes are expected to be in
... | banmo-main | third_party/detectron2_old/detectron2/layers/rotated_boxes.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import itertools
from typing import Any, Dict, List, Tuple, Union
import torch
class Instances:
"""
This class represents a list of instances in an image.
It stores the attributes of instances (e.g., boxes, masks, labels, scores) as "fields".
All fiel... | banmo-main | third_party/detectron2_old/detectron2/structures/instances.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .boxes import Boxes, BoxMode, pairwise_iou, pairwise_ioa
from .image_list import ImageList
from .instances import Instances
from .keypoints import Keypoints, heatmaps_to_keypoints
from .masks import BitMasks, PolygonMasks, polygons_to_bitmask, ROIMasks
from .rota... | banmo-main | third_party/detectron2_old/detectron2/structures/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
import numpy as np
from enum import IntEnum, unique
from typing import List, Tuple, Union
import torch
from torch import device
from detectron2.utils.env import TORCH_VERSION
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
... | banmo-main | third_party/detectron2_old/detectron2/structures/boxes.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
from detectron2.utils.env import TORCH_VERSION
if TORCH_VERSION < (1, 8):
def script_if_tracing(fn):
return fn
else:
script_if_tracing =... | banmo-main | third_party/detectron2_old/detectron2/structures/keypoints.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_... | banmo-main | third_party/detectron2_old/detectron2/structures/masks.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import division
from typing import Any, List, Tuple
import torch
from torch import device
from torch.nn import functional as F
from detectron2.utils.env import TORCH_VERSION
def _as_tensor(x: Tuple[int, int]) -> torch.Tensor:
"""
An equivalen... | banmo-main | third_party/detectron2_old/detectron2/structures/image_list.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes, _maybe_jit_unused
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxes as a Nx5 torch.... | banmo-main | third_party/detectron2_old/detectron2/structures/rotated_boxes.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... | banmo-main | third_party/detectron2_old/detectron2/config/config.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... | banmo-main | third_party/detectron2_old/detectron2/config/compat.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",
... | banmo-main | third_party/detectron2_old/detectron2/config/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import dataclasses
import logging
from collections import abc
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 recur... | banmo-main | third_party/detectron2_old/detectron2/config/instantiate.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .config import CfgNode as CN
# -----------------------------------------------------------------------------
# Convention about Training / Test specific parameters
# -----------------------------------------------------------------------------
# Whenever an argum... | banmo-main | third_party/detectron2_old/detectron2/config/defaults.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import ast
import builtins
import importlib
import inspect
import logging
import os
import uuid
from collections import abc
from contextlib import contextmanager
from copy import deepcopy
from typing import List, Tuple, Union
import cloudpickle
import yaml
from omegaco... | banmo-main | third_party/detectron2_old/detectron2/config/lazy.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import importlib
from pathlib import Path
_PROJECTS = {
"point_rend": "PointRend",
"deeplab": "DeepLab",
"panoptic_deeplab": "Panoptic-DeepLab",
}
_PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent / "projects"
if _PROJECT_ROOT.is_dir():
# ... | banmo-main | third_party/detectron2_old/detectron2/projects/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import cloudpickle
class PicklableWrapper(object):
"""
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)... | banmo-main | third_party/detectron2_old/detectron2/utils/serialize.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
__all__ = ["colormap", "random_color"]
# fmt: off
# RGB:
_COLORS = np.array(
[
0.000, 0.447, 0.741,
0.850, 0.325, 0.09... | banmo-main | third_party/detectron2_old/detectron2/utils/colormap.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... | banmo-main | third_party/detectron2_old/detectron2/utils/env.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import typing
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_count_operators",
"flop_c... | banmo-main | third_party/detectron2_old/detectron2/utils/analysis.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 logging
import numpy as np
import pickle
import torch
import torch.distributed as dist
_LOCAL_PROCESS_GROUP = None
"""
A torch p... | banmo-main | third_party/detectron2_old/detectron2/utils/comm.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:
... | banmo-main | third_party/detectron2_old/detectron2/utils/memory.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import pycocotools.mask as mask_util
from detectron2.utils.visualizer import (
ColorMode,
Visualizer,
_create_text_labels,
_PanopticPrediction,
)
from .colormap import random_color
class _DetectedInstance:
"""
Used to stor... | banmo-main | third_party/detectron2_old/detectron2/utils/video_visualizer.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... | banmo-main | third_party/detectron2_old/detectron2/utils/registry.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 typing import Optional
import torch
from fvcore.common.history_buffer import HistoryBuffer
from detectron2.utils.file_io imp... | banmo-main | third_party/detectron2_old/detectron2/utils/events.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:
... | banmo-main | third_party/detectron2_old/detectron2/utils/collect_env.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| banmo-main | third_party/detectron2_old/detectron2/utils/__init__.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... | banmo-main | third_party/detectron2_old/detectron2/utils/logger.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... | banmo-main | third_party/detectron2_old/detectron2/utils/file_io.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import io
import numpy as np
import torch
from detectron2 import model_zoo
from detectron2.data import DatasetCatalog
from detectron2.data.detection_utils import read_image
from detectron2.modeling import build_model
from detectron2.structures import Boxes, Instances,... | banmo-main | third_party/detectron2_old/detectron2/utils/testing.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... | banmo-main | third_party/detectron2_old/detectron2/utils/visualizer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
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, MultiStepParamScheduler
from detectron2.co... | banmo-main | third_party/detectron2_old/detectron2/solver/build.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,
)
logger = logging.getLog... | banmo-main | third_party/detectron2_old/detectron2/solver/lr_scheduler.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .build import build_lr_scheduler, build_optimizer, get_default_optimizer_params
from .lr_scheduler import WarmupCosineLR, WarmupMultiStepLR, LRMultiplier, WarmupParamScheduler
__all__ = [k for k in globals().keys() if not k.startswith("_")]
| banmo-main | third_party/detectron2_old/detectron2/solver/__init__.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(ob... | banmo-main | third_party/detectron2_old/detectron2/model_zoo/model_zoo.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/master/MODEL_ZOO.md>`_,
and optionally load their pre-trained weights.
"""
from .model_zoo imp... | banmo-main | third_party/detectron2_old/detectron2/model_zoo/__init__.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
... | banmo-main | third_party/detectron2_old/detectron2/modeling/test_time_augmentation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List
import torch
from torch import nn
from torchvision.ops import RoIPool
from detectron2.layers import ROIAlign, ROIAlignRotated, cat, nonzero_tuple
from detectron2.structures import Boxes
"""
To export ROIPooler to torchscript, in th... | banmo-main | third_party/detectron2_old/detectron2/modeling/poolers.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.layers import nonzero_tuple
class Matcher(object):
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicted element will have exactly zero or one matches;... | banmo-main | third_party/detectron2_old/detectron2/modeling/matcher.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from detectron2.layers import cat
from detectron2.structures import Boxes
# Value for clamping large dw and dh predictions. The heuristic is that we clamp
# such t... | banmo-main | third_party/detectron2_old/detectron2/modeling/box_regression.py |
# -*- coding: utf-8 -*-
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 detectron2.layers import S... | banmo-main | third_party/detectron2_old/detectron2/modeling/mmdet_wrapper.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
from detectron2.structures import Boxes, RotatedBoxes
from detectron2.utils.registry import Regi... | banmo-main | third_party/detectron2_old/detectron2/modeling/anchor_generator.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)
... | banmo-main | third_party/detectron2_old/detectron2/modeling/sampling.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
... | banmo-main | third_party/detectron2_old/detectron2/modeling/postprocessing.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.
... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/build.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.structures import ImageList, ... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/rcnn.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 ... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/panoptic_fpn.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from .build import META_ARCH_REGISTRY, build_model # isort:skip
from .panoptic_fpn import PanopticFPN
# import all the meta_arch, so they will be registered
from .rcnn import GeneralizedRCNN, ProposalNetwork
from .retinanet import RetinaNet
... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
import numpy as np
from typing import Dict, 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.da... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/retinanet.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/meta_arch/semantic_seg.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/proposal_generator/build.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, ... | banmo-main | third_party/detectron2_old/detectron2/modeling/proposal_generator/rpn.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/proposal_generator/rrpn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .build import PROPOSAL_GENERATOR_REGISTRY, build_proposal_generator
from .rpn import RPN_HEAD_REGISTRY, build_rpn_head, RPN, StandardRPNHead
__all__ = list(globals().keys())
| banmo-main | third_party/detectron2_old/detectron2/modeling/proposal_generator/__init__.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
from detectron2.structures import Boxes, Instances
from detectron2.utils.env import TORCH_VERSION
logger = logging.getLogger(__name__)
def _... | banmo-main | third_party/detectron2_old/detectron2/modeling/proposal_generator/proposal_utils.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/mask_head.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List, Tuple, Union
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, batche... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/fast_rcnn.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/box_head.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/keypoint_head.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/__init__.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/rotated_fast_rcnn.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/cascade_rcnn.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,... | banmo-main | third_party/detectron2_old/detectron2/modeling/roi_heads/roi_heads.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/build.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/fpn.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/regnet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABCMeta, abstractmethod
import torch.nn as nn
from detectron2.layers import ShapeSpec
__all__ = ["Backbone"]
class Backbone(nn.Module, metaclass=ABCMeta):
"""
Abstract base class for network backbones.
"""
def __init__(self):
... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/backbone.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,... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/__init__.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... | banmo-main | third_party/detectron2_old/detectron2/modeling/backbone/resnet.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/fast_eval_api.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/panoptic_evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .cityscapes_evaluation import CityscapesInstanceEvaluator, CityscapesSemSegEvaluator
from .coco_evaluation import COCOEvaluator
from .rotated_coco_evaluation import RotatedCOCOEvaluator
from .evaluator import DatasetEvaluator, DatasetEvaluators, inference_context,... | banmo-main | third_party/detectron2_old/detectron2/evaluation/__init__.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/cityscapes_evaluation.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/coco_evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import json
import logging
import numpy as np
import os
from collections import OrderedDict
import PIL.Image as Image
import pycocotools.mask as mask_util
import torch
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.utils.c... | banmo-main | third_party/detectron2_old/detectron2/evaluation/sem_seg_evaluation.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/pascal_voc_evaluation.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/lvis_evaluation.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:
... | banmo-main | third_party/detectron2_old/detectron2/evaluation/testing.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/evaluator.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... | banmo-main | third_party/detectron2_old/detectron2/evaluation/rotated_coco_evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
import torch
import torch.nn.functional as F
from detectron2.layers import cat
from detectron2.layers.roi_align_rotated import ROIAlignRotated
from detectron2.modeling import poolers
from detectron2.modeling.proposal_generator import rpn
from detectron2.m... | banmo-main | third_party/detectron2_old/detectron2/export/c10.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... | banmo-main | third_party/detectron2_old/detectron2/export/caffe2_export.py |
import collections
from dataclasses import dataclass
from typing import Callable, List, Optional, Tuple
import torch
from torch import nn
from detectron2.structures import Boxes, Instances, ROIMasks
from detectron2.utils.registry import _convert_target_to_string, locate
from .torchscript_patch import patch_builtin_le... | banmo-main | third_party/detectron2_old/detectron2/export/flatten.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
from unittest import mock
import torch
from detectron2.modeling import poolers
from detectron2.modeling.proposal_generator import rpn
from detectron2.modeling.roi_heads import keypoint_head, mask_head
from detectron2.modeling.roi_heads.fast_rcnn imp... | banmo-main | third_party/detectron2_old/detectron2/export/caffe2_patch.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.meta_arch.panoptic_fpn import combine_semantic_and_instance_outputs
f... | banmo-main | third_party/detectron2_old/detectron2/export/caffe2_modeling.py |
# -*- coding: utf-8 -*-
from .api import *
from .flatten import TracingAdapter
from .torchscript import scripting_with_instances, dump_torchscript_IR
__all__ = [k for k in globals().keys() if not k.startswith("_")]
| banmo-main | third_party/detectron2_old/detectron2/export/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import collections
import contextlib
import copy
import functools
import logging
import numpy as np
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from unittest import mock
import caffe2.python.utils as putils
import torch
import torch.... | banmo-main | third_party/detectron2_old/detectron2/export/shared.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... | banmo-main | third_party/detectron2_old/detectron2/export/api.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... | banmo-main | third_party/detectron2_old/detectron2/export/caffe2_inference.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import sys
import tempfile
from contextlib import ExitStack, contextmanager
from copy import deepcopy
from unittest import mock
import torch
from torch import nn
# need some explicit imports due to https://github.com/pytorch/pytorch/issues/38964
import dete... | banmo-main | third_party/detectron2_old/detectron2/export/torchscript_patch.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import torch
from detectron2.utils.env import TORCH_VERSION
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... | banmo-main | third_party/detectron2_old/detectron2/export/torchscript.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import types
from collections import UserDict
from typing import List
from detectron2.utils.logger import log_first_n
__all__ = ["DatasetCatalog", "MetadataCatalog", "Metadata"]
class _DatasetCatalog(UserDict):
"""
A global dictio... | banmo-main | third_party/detectron2_old/detectron2/data/catalog.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
import operator
import pickle
import torch.utils.data
from tabulate import tabulate
from termcolor import colored
from detectron2.config import configurable
from detectron2.structures import BoxMode
from detectron2.ut... | banmo-main | third_party/detectron2_old/detectron2/data/build.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from . import transforms # isort:skip
from .build import (
build_batch_data_loader,
build_detection_test_loader,
build_detection_train_loader,
get_detection_dataset_dicts,
load_proposals_into_dataset,
print_instances_class_histogram,
)
from .c... | banmo-main | third_party/detectron2_old/detectron2/data/__init__.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
import logging
import numpy as np
from typing import List, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from d... | banmo-main | third_party/detectron2_old/detectron2/data/detection_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
from typing import List, Optional, Union
import torch
from detectron2.config import configurable
from . import detection_utils as utils
from . import transforms as T
"""
This file contains the default mapping that's appl... | banmo-main | third_party/detectron2_old/detectron2/data/dataset_mapper.py |
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