python_code stringlengths 0 4.04M | repo_name stringlengths 7 58 | file_path stringlengths 5 147 |
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# 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 |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
import numpy as np
import pickle
import random
import torch.utils.data as data
from torch.utils.data.sampler import Sampler
from detectron2.utils.serialize import PicklableWrapper
__all__ = ["MapDataset", "DatasetFromList",... | banmo-main | third_party/detectron2_old/detectron2/data/common.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import datetime
import io
import json
import logging
import numpy as np
import os
import shutil
import pycocotools.mask as mask_util
from fvcore.common.timer import Timer
from iopath.common.file_io import file_lock
from PIL import Image
from detectro... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/coco.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .coco import register_coco_instances # noqa
from .coco_panoptic import register_coco_panoptic_separated # noqa
| banmo-main | third_party/detectron2_old/detectron2/data/datasets/register_coco.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import functools
import json
import logging
import multiprocessing as mp
import numpy as np
import os
from itertools import chain
import pycocotools.mask as mask_util
from PIL import Image
from detectron2.structures import BoxMode
from detectron2.utils.comm import get... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/cityscapes.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import json
import logging
import os
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data.datasets.builtin_meta import CITYSCAPES_CATEGORIES
from detectron2.utils.file_io import PathManager
"""
This file contains functions to register the ... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/cityscapes_panoptic.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# Autogen with
# with open("lvis_v1_val.json", "r") as f:
# a = json.load(f)
# c = a["categories"]
# for x in c:
# del x["image_count"]
# del x["instance_count"]
# LVIS_CATEGORIES = repr(c) + " # noqa"
# with open("/tmp/lvis_categories.py", "wt") as f:
# ... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/lvis_v1_categories.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .coco import load_coco_json, load_sem_seg, register_coco_instances
from .coco_panoptic import register_coco_panoptic, register_coco_panoptic_separated
from .lvis import load_lvis_json, register_lvis_instances, get_lvis_instances_meta
from .pascal_voc import load_v... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
from fvcore.common.timer import Timer
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
from detectron2.utils.file_io import PathManager
from .builtin_meta import _get_coco_instances_meta
fr... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/lvis.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
import os
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.utils.file_io import PathManager
from .coco import load_coco_json, load_sem_seg
__all__ = ["register_coco_panoptic", "register_coco_panoptic_separated"]
d... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/coco_panoptic.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file registers pre-defined datasets at hard-coded paths, and their metadata.
We hard-code metadata for common datasets. This will enable:
1. Consistency check when loading the datasets
2. Use models on these standard datasets directl... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/builtin.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
import xml.etree.ElementTree as ET
from typing import List, Tuple, Union
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
from detectron2.utils.file_io import Pa... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/pascal_voc.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# Autogen with
# with open("lvis_v0.5_val.json", "r") as f:
# a = json.load(f)
# c = a["categories"]
# for x in c:
# del x["image_count"]
# del x["instance_count"]
# LVIS_CATEGORIES = repr(c) + " # noqa"
# fmt: off
LVIS_CATEGORIES = [{'frequency': 'r', 'i... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/lvis_v0_5_categories.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Note:
For your custom dataset, there is no need to hard-code metadata anywhere in the code.
For example, for COCO-format dataset, metadata will be obtained automatically
when calling `load_coco_json`. For other dataset, metadata may also be... | banmo-main | third_party/detectron2_old/detectron2/data/datasets/builtin_meta.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Implement many useful :class:`Augmentation`.
"""
import numpy as np
import sys
from typing import Tuple
from fvcore.transforms.transform import (
BlendTransform,
CropTransform,
HFlipTransform,
NoOpTransform,
PadTransform,... | banmo-main | third_party/detectron2_old/detectron2/data/transforms/augmentation_impl.py |
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import inspect
import numpy as np
import pprint
from typing import Any, List, Optional, Tuple, Union
from fvcore.transforms.transform import Transform, TransformList
"""
See "Data Augmentation" tutorial for an overview of the system:
https://d... | banmo-main | third_party/detectron2_old/detectron2/data/transforms/augmentation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from fvcore.transforms.transform import Transform, TransformList # order them first
from fvcore.transforms.transform import *
from .transform import *
from .augmentation import *
from .augmentation_impl import *
__all__ = [k for k in globals().keys() if not k.startsw... | banmo-main | third_party/detectron2_old/detectron2/data/transforms/__init__.py |
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