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 |
|---|---|---|---|---|---|
mmdetection | mmdet/datasets/cityscapes.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/datasets/cityscapes.py # noqa
# and https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/evaluation/evalInstanceLevelSemanticLabeling.py # noqa
from typing im... | 62 | 2,323 |
mmdetection | mmdet/datasets/xml_style.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
from typing import List, Optional, Union
import mmcv
from mmengine.fileio import get, get_local_path, list_from_file
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
@DATASETS.reg... | 187 | 6,524 |
mmdetection | mmdet/datasets/coco_semantic.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .ade20k import ADE20KSegDataset
@DATASETS.register_module()
class CocoSegDataset(ADE20KSegDataset):
"""COCO dataset.
In segmentation map annotation for COCO. The ``img_suffix`` is fixed to
'.jpg', and ``seg_map_suff... | 91 | 5,980 |
mmdetection | mmdet/datasets/crowdhuman.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import logging
import os.path as osp
import warnings
from typing import List, Union
import mmcv
from mmengine.dist import get_rank
from mmengine.fileio import dump, get, get_text, load
from mmengine.logging import print_log
from mmengine.utils import Progress... | 160 | 6,153 |
mmdetection | mmdet/datasets/coco_panoptic.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Callable, List, Optional, Sequence, Union
from mmdet.registry import DATASETS
from .api_wrappers import COCOPanoptic
from .coco import CocoDataset
@DATASETS.register_module()
class CocoPanopticDataset(CocoDataset):
"""Coco d... | 293 | 13,957 |
mmdetection | mmdet/datasets/youtube_vis_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .base_video_dataset import BaseVideoDataset
@DATASETS.register_module()
class YouTubeVISDataset(BaseVideoDataset):
"""YouTube VIS dataset for video instance segmentation.
Args:
dataset_version (str): Select datas... | 53 | 2,511 |
mmdetection | mmdet/datasets/ade20k.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List
from mmengine import fileio
from mmdet.registry import DATASETS
from .base_semseg_dataset import BaseSegDataset
from .coco import CocoDataset
from .coco_panoptic import CocoPanopticDataset
ADE_PALETTE = [(120, 120, 120), (1... | 261 | 15,549 |
mmdetection | mmdet/datasets/base_semseg_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import Callable, Dict, List, Optional, Sequence, Union
import mmengine
import mmengine.fileio as fileio
import numpy as np
from mmengine.dataset import BaseDataset, Compose
from mmdet.registry import DATASETS
@DATASETS.reg... | 266 | 11,450 |
mmdetection | mmdet/datasets/dsdl.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os
from typing import List
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
try:
from dsdl.dataset import DSDLDataset
except ImportError:
DSDLDataset = None
@DATASETS.register_module()
class DSDLDetDataset(BaseDetDataset)... | 193 | 7,185 |
mmdetection | mmdet/datasets/wider_face.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
from mmengine.dist import is_main_process
from mmengine.fileio import get_local_path, list_from_file
from mmengine.utils import ProgressBar
from mmdet.registry import DATASETS
from mmdet.utils.typing_utils import ... | 91 | 3,103 |
mmdetection | mmdet/datasets/base_video_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from collections import defaultdict
from typing import Any, List, Tuple
import mmengine.fileio as fileio
from mmengine.dataset import BaseDataset
from mmengine.logging import print_log
from mmdet.datasets.api_wrappers import COCO
from m... | 305 | 11,711 |
mmdetection | mmdet/datasets/mot_challenge_dataset.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List, Union
from mmdet.registry import DATASETS
from .base_video_dataset import BaseVideoDataset
@DATASETS.register_module()
class MOTChallengeDataset(BaseVideoDataset):
"""Dataset for MOTChallenge.
Args:
visibi... | 89 | 3,291 |
mmdetection | mmdet/datasets/v3det.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path
from typing import Optional
import mmengine
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class V3DetDataset(CocoDataset):
"""Dataset for V3Det."""
METAINFO = {
'classes': None,
'p... | 33 | 865 |
mmdetection | mmdet/datasets/mdetr_style_refcoco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List
from mmengine.fileio import get_local_path
from mmdet.datasets import BaseDetDataset
from mmdet.registry import DATASETS
from .api_wrappers import COCO
@DATASETS.register_module()
class MDETRStyleRefCocoDataset(BaseDetData... | 58 | 1,902 |
mmdetection | mmdet/datasets/lvis.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from typing import List
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class LVISV05Dataset(CocoDataset):
"""LVIS v0.5 dataset for detection."""
... | 639 | 41,457 |
mmdetection | mmdet/datasets/coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List, Union
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .api_wrappers import COCO
from .base_det_dataset import BaseDetDataset
@DATASETS.register_module()
class CocoDataset(Ba... | 202 | 8,250 |
mmdetection | mmdet/datasets/openimages.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import csv
import os.path as osp
from collections import defaultdict
from typing import Dict, List, Optional
import numpy as np
from mmengine.fileio import get_local_path, load
from mmengine.utils import is_abs
from mmdet.registry import DATASETS
from .base_det_dataset ... | 485 | 20,079 |
mmdetection | mmdet/datasets/api_wrappers/cocoeval_mp.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import itertools
import time
from collections import defaultdict
import numpy as np
import torch.multiprocessing as mp
from mmengine.logging import MMLogger
from pycocotools.cocoeval import COCOeval
from tqdm import tqdm
class COCOevalMP(COCOeval):
def... | 297 | 11,940 |
mmdetection | mmdet/datasets/api_wrappers/coco_api.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# This file add snake case alias for coco api
import warnings
from collections import defaultdict
from typing import List, Optional, Union
import pycocotools
from pycocotools.coco import COCO as _COCO
from pycocotools.cocoeval import COCOeval as _COCOeval
class COCO(_... | 138 | 4,793 |
mmdetection | mmdet/datasets/transforms/text_transformers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import json
from mmcv.transforms import BaseTransform
from mmdet.registry import TRANSFORMS
from mmdet.structures.bbox import BaseBoxes
try:
from transformers import AutoTokenizer
from transformers import BertModel as HFBertModel
except ImportError:
AutoTok... | 256 | 8,145 |
mmdetection | mmdet/datasets/transforms/colorspace.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Optional
import mmcv
import numpy as np
from mmcv.transforms import BaseTransform
from mmcv.transforms.utils import cache_randomness
from mmdet.registry import TRANSFORMS
from .augment_wrappers import _MAX_LEVEL, level_to_mag
@TRANSFORMS... | 494 | 16,984 |
mmdetection | mmdet/datasets/transforms/loading.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import torch
from mmcv.transforms import BaseTransform
from mmcv.transforms import LoadAnnotations as MMCV_LoadAnnotations
from mmcv.transforms import LoadImageF... | 1,075 | 37,692 |
mmdetection | mmdet/datasets/transforms/frame_sampling.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import random
from collections import defaultdict
from typing import Dict, List, Optional, Union
from mmcv.transforms import BaseTransform
from mmdet.registry import TRANSFORMS
@TRANSFORMS.register_module()
class BaseFrameSample(BaseTransform):
"""Directly get the... | 178 | 6,747 |
mmdetection | mmdet/datasets/transforms/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .augment_wrappers import AutoAugment, RandAugment
from .colorspace import (AutoContrast, Brightness, Color, ColorTransform,
Contrast, Equalize, Invert, Posterize, Sharpness,
Solarize, SolarizeAdd)
from .formatting imp... | 46 | 2,786 |
mmdetection | mmdet/datasets/transforms/transforms.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import inspect
import math
import warnings
from typing import List, Optional, Sequence, Tuple, Union
import cv2
import mmcv
import numpy as np
from mmcv.image import imresize
from mmcv.image.geometric import _scale_size
from mmcv.transforms import BaseTransfo... | 3,857 | 148,684 |
mmdetection | mmdet/datasets/transforms/geometric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import cv2
import mmcv
import numpy as np
from mmcv.transforms import BaseTransform
from mmcv.transforms.utils import cache_randomness
from mmdet.registry import TRANSFORMS
from mmdet.structures.bbox import autocast_box_type
from .aug... | 755 | 30,322 |
mmdetection | mmdet/datasets/transforms/augment_wrappers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import numpy as np
from mmcv.transforms import RandomChoice
from mmcv.transforms.utils import cache_randomness
from mmengine.config import ConfigDict
from mmdet.registry import TRANSFORMS
# AutoAugment uses reinforcement learnin... | 265 | 9,738 |
mmdetection | mmdet/datasets/transforms/transformers_glip.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
from mmcv.transforms import BaseTransform
from mmdet.registry import TRANSFORMS
from mmdet.structures.bbox import HorizontalBoxes, autocast_box_type
from .transforms import RandomFlip
@TRANSFORMS.register_module()
class GTBoxSubOne_GLIP(B... | 67 | 2,360 |
mmdetection | mmdet/datasets/transforms/wrappers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Callable, Dict, List, Optional, Union
import numpy as np
from mmcv.transforms import BaseTransform, Compose
from mmcv.transforms.utils import cache_random_params, cache_randomness
from mmdet.registry import TRANSFORMS
@TRANSFORMS.registe... | 278 | 10,689 |
mmdetection | mmdet/datasets/transforms/instaboost.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import numpy as np
from mmcv.transforms import BaseTransform
from mmdet.registry import TRANSFORMS
@TRANSFORMS.register_module()
class InstaBoost(BaseTransform):
r"""Data augmentation method in `InstaBoost: Boosting Instance
Segmentati... | 151 | 5,489 |
mmdetection | mmdet/datasets/transforms/formatting.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence
import numpy as np
from mmcv.transforms import to_tensor
from mmcv.transforms.base import BaseTransform
from mmengine.structures import InstanceData, PixelData
from mmdet.registry import TRANSFORMS
from mmdet.structures import DetDa... | 513 | 19,198 |
mmdetection | mmdet/datasets/samplers/custom_sample_size_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Iterator, Optional, Sequence, Sized
import torch
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry import DATA_SAMPLERS
from .class_aware_sampler import RandomCycleIter
@DA... | 112 | 3,963 |
mmdetection | mmdet/datasets/samplers/track_img_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import random
from typing import Iterator, Optional, Sized
import numpy as np
from mmengine.dataset import ClassBalancedDataset, ConcatDataset
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry ... | 147 | 6,171 |
mmdetection | mmdet/datasets/samplers/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .batch_sampler import (AspectRatioBatchSampler,
MultiDataAspectRatioBatchSampler,
TrackAspectRatioBatchSampler)
from .class_aware_sampler import ClassAwareSampler
from .custom_sample_size_sampler import CustomSa... | 17 | 771 |
mmdetection | mmdet/datasets/samplers/multi_data_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Iterator, Optional, Sequence, Sized
import torch
from mmengine.dist import get_dist_info, sync_random_seed
from mmengine.registry import DATA_SAMPLERS
from torch.utils.data import Sampler
@DATA_SAMPLERS.register_module()
class MultiDataSa... | 111 | 3,887 |
mmdetection | mmdet/datasets/samplers/multi_source_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
from typing import Iterator, List, Optional, Sized, Union
import numpy as np
import torch
from mmengine.dataset import BaseDataset
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry import ... | 215 | 8,580 |
mmdetection | mmdet/datasets/samplers/class_aware_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Dict, Iterator, Optional, Union
import numpy as np
import torch
from mmengine.dataset import BaseDataset
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry import DATA_SAMPLER... | 193 | 7,132 |
mmdetection | mmdet/datasets/samplers/batch_sampler.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence
from torch.utils.data import BatchSampler, Sampler
from mmdet.datasets.samplers.track_img_sampler import TrackImgSampler
from mmdet.registry import DATA_SAMPLERS
# TODO: maybe replace with a data_loader wrapper
@DATA_SAMPLERS.register_modul... | 194 | 7,682 |
mmdetection | mmdet/evaluation/evaluator/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .multi_datasets_evaluator import MultiDatasetsEvaluator
__all__ = ['MultiDatasetsEvaluator']
| 5 | 147 |
mmdetection | mmdet/evaluation/evaluator/multi_datasets_evaluator.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from collections import OrderedDict
from typing import Sequence, Union
from mmengine.dist import (broadcast_object_list, collect_results,
is_main_process)
from mmengine.evaluator import BaseMetric, Evaluator
from mmengine.evalua... | 112 | 4,717 |
mmdetection | mmdet/evaluation/functional/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .bbox_overlaps import bbox_overlaps
from .cityscapes_utils import evaluateImgLists
from .class_names import (cityscapes_classes, coco_classes,
coco_panoptic_classes, dataset_aliases, get_classes,
imagenet_det_classe... | 27 | 1,411 |
mmdetection | mmdet/evaluation/functional/bbox_overlaps.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
def bbox_overlaps(bboxes1,
bboxes2,
mode='iou',
eps=1e-6,
use_legacy_coordinate=False):
"""Calculate the ious between each bbox of bboxes1 and bboxes2.
Args:
bbox... | 66 | 2,454 |
mmdetection | mmdet/evaluation/functional/ytvis.py | .py | # Copyright (c) Github URL
# Copied from
# https://github.com/youtubevos/cocoapi/blob/master/PythonAPI/pycocotools/ytvos.py
__author__ = 'ychfan'
# Interface for accessing the YouTubeVIS dataset.
# The following API functions are defined:
# YTVIS - YTVIS api class that loads YouTubeVIS annotation file
# and pr... | 306 | 11,672 |
mmdetection | mmdet/evaluation/functional/panoptic_utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2018, Alexander Kirillov
# This file supports `backend_args` for `panopticapi`,
# the source code is copied from `panopticapi`,
# only the way to load the gt images is modified.
import multiprocessing
import os
import mmcv
import numpy as np
from mmengin... | 229 | 9,128 |
mmdetection | mmdet/evaluation/functional/ytviseval.py | .py | # Copyright (c) Github URL
# Copied from
# https://github.com/youtubevos/cocoapi/blob/master/PythonAPI/pycocotools/ytvoseval.py
__author__ = 'ychfan'
import copy
import datetime
import time
from collections import defaultdict
import numpy as np
from pycocotools import mask as maskUtils
class YTVISeval:
# Interf... | 624 | 25,855 |
mmdetection | mmdet/evaluation/functional/class_names.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.utils import is_str
def wider_face_classes() -> list:
"""Class names of WIDERFace."""
return ['face']
def voc_classes() -> list:
"""Class names of PASCAL VOC."""
return [
'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'c... | 763 | 50,541 |
mmdetection | mmdet/evaluation/functional/cityscapes_utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) https://github.com/mcordts/cityscapesScripts
# A wrapper of `cityscapesscripts` which supports loading groundtruth
# image from `backend_args`.
import json
import os
import sys
from pathlib import Path
from typing import Optional, Union
import mmcv
import... | 303 | 11,654 |
mmdetection | mmdet/evaluation/functional/mean_ap.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from multiprocessing import Pool
import numpy as np
from mmengine.logging import print_log
from mmengine.utils import is_str
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
from .class_names import get_classes
def average_precision(recal... | 793 | 33,271 |
mmdetection | mmdet/evaluation/functional/recall.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Sequence
import numpy as np
from mmengine.logging import print_log
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
def _recalls(all_ious, proposal_nums, thrs):
img_num = all_ious.shape[0]
total_gt_num... | 200 | 6,848 |
mmdetection | mmdet/evaluation/metrics/ov_coco_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict
import numpy as np
from mmengine.fileio import load
from mmengine.logging import MMLogger
from terminaltables import AsciiTable
from mmdet.datasets.api_wra... | 267 | 11,314 |
mmdetection | mmdet/evaluation/metrics/coco_video_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Sequence
from mmengine.dist import broadcast_object_list, is_main_process
from mmdet.registry import METRICS
from .base_video_metric import collect_tracking_results
from .coco_metric import CocoMetric
@METRICS.register_module()
class... | 81 | 3,072 |
mmdetection | mmdet/evaluation/metrics/crowdhuman_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import json
import os.path as osp
import tempfile
from collections import OrderedDict
from multiprocessing import Process, Queue
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengin... | 825 | 32,675 |
mmdetection | mmdet/evaluation/metrics/coco_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
import torch
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump,... | 598 | 25,686 |
mmdetection | mmdet/evaluation/metrics/dump_det_results.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Sequence
from mmengine.evaluator import DumpResults
from mmengine.evaluator.metric import _to_cpu
from mmdet.registry import METRICS
from mmdet.structures.mask import encode_mask_results
@METRICS.register_module()
class DumpDetResult... | 48 | 1,888 |
mmdetection | mmdet/evaluation/metrics/dod_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import defaultdict
from typing import List, Optional, Sequence
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.fileio import get_local_path
from mmengine.logging import MMLogger
from mmdet.datasets.api_wrappers import COCO, CO... | 170 | 6,482 |
mmdetection | mmdet/evaluation/metrics/refseg_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence
import torch
from mmengine.evaluator import BaseMetric
from mmdet.registry import METRICS
@METRICS.register_module()
class RefSegMetric(BaseMetric):
"""Referring Expression Segmentation Metric."""
def __init__(self, metric: Sequenc... | 64 | 2,325 |
mmdetection | mmdet/evaluation/metrics/semseg_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from collections import OrderedDict
from typing import Dict, Optional, Sequence, Union
import numpy as np
import torch
from mmcv import imwrite
from mmengine.dist import is_main_process
from mmengine.evaluator import BaseMetric
from mmengine.logging... | 280 | 11,427 |
mmdetection | mmdet/evaluation/metrics/voc_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from collections import OrderedDict
from typing import List, Optional, Sequence, Union
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.logging import MMLogger
from mmdet.registry import METRICS
from ..functional imp... | 177 | 8,076 |
mmdetection | mmdet/evaluation/metrics/base_video_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import pickle
import shutil
import tempfile
import warnings
from typing import Optional, Sequence
import torch
from mmengine.dist import (barrier, broadcast, broadcast_object_list,
get_dist_info, is_main_process)
from mmen... | 174 | 6,513 |
mmdetection | mmdet/evaluation/metrics/coco_panoptic_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import itertools
import os.path as osp
import tempfile
from typing import Dict, Optional, Sequence, Tuple, Union
import mmcv
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump, get_local_path, load
from mmengine.... | 619 | 25,077 |
mmdetection | mmdet/evaluation/metrics/youtube_vis_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import warnings
import zipfile
from collections import OrderedDict, defaultdict
from typing import Dict, List, Optional, Sequence, Tuple, Union
import mmengine
import numpy as np
from mmengine.dist import (all_gather_object, barrier,... | 427 | 16,656 |
mmdetection | mmdet/evaluation/metrics/dump_odvg_results.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Any, Optional, Sequence
from mmcv.ops import batched_nms
from mmengine.evaluator import BaseMetric
from mmengine.logging import print_log
from mmdet.registry import METRICS
try:
import jsonlines
except ImportError:
jsonlines = None
@METRICS... | 139 | 5,237 |
mmdetection | mmdet/evaluation/metrics/reid_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import numpy as np
import torch
from mmengine.evaluator import BaseMetric
from mmdet.registry import METRICS
@METRICS.register_module()
class ReIDMetrics(BaseMetric):
"""mAP and CMC evaluation metrics for the ReID task.... | 139 | 5,287 |
mmdetection | mmdet/evaluation/metrics/coco_caption_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os
import tempfile
from typing import List, Optional
from mmengine.evaluator import BaseMetric
from mmengine.utils import track_iter_progress
from pycocotools.coco import COCO
from mmdet.registry import METRICS
try:
from pycocoevalcap.eval import... | 136 | 4,557 |
mmdetection | mmdet/evaluation/metrics/cityscapes_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import shutil
import tempfile
from collections import OrderedDict
from typing import Dict, Optional, Sequence
import mmcv
import numpy as np
from mmengine.dist import is_main_process
from mmengine.evaluator import BaseMetric
from mmengine.... | 206 | 8,769 |
mmdetection | mmdet/evaluation/metrics/coco_occluded_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Union
import mmengine
import numpy as np
from mmengine.fileio import load
from mmengine.logging import print_log
from pycocotools import mask as coco_mask
from terminaltables import AsciiTable
from mmdet.registry import METRICS
f... | 205 | 8,370 |
mmdetection | mmdet/evaluation/metrics/lvis_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import logging
import os.path as osp
import tempfile
import warnings
from collections import OrderedDict, defaultdict
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
import torch
from mmengine.dist import (all_gather_object, b... | 535 | 22,161 |
mmdetection | mmdet/evaluation/metrics/refexp_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Sequence
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.fileio import get_local_path
from mmengine.logging import MMLogger
from mmdet.datasets.api_wrappers import COCO
from mmdet.registry import METRICS
from... | 101 | 3,686 |
mmdetection | mmdet/evaluation/metrics/grefcoco_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Sequence
import numpy as np
import torch
from mmengine.evaluator import BaseMetric
from mmengine.fileio import get_local_path
from mmengine.logging import MMLogger
from mmdet.datasets.api_wrappers import COCO
from mmdet.registry import... | 123 | 4,328 |
mmdetection | mmdet/evaluation/metrics/mot_challenge_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import shutil
import tempfile
from collections import defaultdict
from typing import List, Optional, Union
import numpy as np
import torch
try:
import trackeval
except ImportError:
trackeval = None
from mmengine.dist import (all_g... | 444 | 18,942 |
mmdetection | mmdet/evaluation/metrics/flickr30k_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved
from collections import defaultdict
from typing import Dict, List, Optional, Sequence
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.logging import MMLogger
from mmdet.registry import METRICS
from ..functional import bbox_overlaps
class Reca... | 166 | 6,244 |
mmdetection | mmdet/evaluation/metrics/openimages_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from collections import OrderedDict
from typing import List, Optional, Sequence, Union
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.logging import MMLogger, print_log
from mmdet.registry import METRICS
from ..functional import e... | 238 | 10,709 |
mmdetection | mmdet/evaluation/metrics/dump_proposals_metric.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
from typing import Optional, Sequence
from mmengine.dist import is_main_process
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump
from mmengine.logging import MMLogger
from mmengine.structures import InstanceData
... | 120 | 4,984 |
mmdetection | mmdet/utils/contextmanagers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import asyncio
import contextlib
import logging
import os
import time
from typing import List
import torch
logger = logging.getLogger(__name__)
DEBUG_COMPLETED_TIME = bool(os.environ.get('DEBUG_COMPLETED_TIME', False))
@contextlib.asynccontextmanager
async def comple... | 123 | 4,125 |
mmdetection | mmdet/utils/logger.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
from mmengine.logging import print_log
def get_caller_name():
"""Get name of caller method."""
# this_func_frame = inspect.stack()[0][0] # i.e., get_caller_name
# callee_frame = inspect.stack()[1][0] # e.g., log_img_scale
caller_frame =... | 50 | 1,546 |
mmdetection | mmdet/utils/replace_cfg_vals.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import re
from mmengine.config import Config
def replace_cfg_vals(ori_cfg):
"""Replace the string "${key}" with the corresponding value.
Replace the "${key}" with the value of ori_cfg.key in the config. And
support replacing the chained ${key}. Such as, re... | 71 | 2,914 |
mmdetection | mmdet/utils/misc.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import glob
import os
import os.path as osp
import urllib
import warnings
from typing import Union
import torch
from mmengine.config import Config, ConfigDict
from mmengine.logging import print_log
from mmengine.utils import scandir
IMG_EXTENSIONS = ('.jpg', '.jpeg', '.... | 150 | 4,979 |
mmdetection | mmdet/utils/collect_env.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.utils import get_git_hash
from mmengine.utils.dl_utils import collect_env as collect_base_env
import mmdet
def collect_env():
"""Collect the information of the running environments."""
env_info = collect_base_env()
env_info['MMDetection'] = mm... | 18 | 488 |
mmdetection | mmdet/utils/compat_config.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from mmengine.config import ConfigDict
def compat_cfg(cfg):
"""This function would modify some filed to keep the compatibility of
config.
For example, it will move some args which will be deprecated to the correct
fields.
... | 140 | 5,977 |
mmdetection | mmdet/utils/benchmark.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import time
from functools import partial
from typing import List, Optional, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import fuse_conv_bn
# TODO need update
# from mmcv.runner import wrap_fp16_model
from mmengine import MMLogg... | 530 | 19,364 |
mmdetection | mmdet/utils/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .collect_env import collect_env
from .compat_config import compat_cfg
from .dist_utils import (all_reduce_dict, allreduce_grads, reduce_mean,
sync_random_seed)
from .logger import get_caller_name, log_img_scale
from .memory import AvoidCUDAOO... | 29 | 1,466 |
mmdetection | mmdet/utils/large_image.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence, Tuple
import torch
from mmcv.ops import batched_nms
from mmengine.structures import InstanceData
from mmdet.structures import DetDataSample, SampleList
def shift_rbboxes(bboxes: torch.Tensor, offset: Sequence[int]):
"""Shift rotated bb... | 105 | 3,872 |
mmdetection | mmdet/utils/typing_utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""Collecting some commonly used type hint in mmdetection."""
from typing import List, Optional, Sequence, Tuple, Union
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData, PixelData
# TODO: Need to avoid circular import with assigner and... | 23 | 737 |
mmdetection | mmdet/utils/split_batch.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def split_batch(img, img_metas, kwargs):
"""Split data_batch by tags.
Code is modified from
<https://github.com/microsoft/SoftTeacher/blob/main/ssod/utils/structure_utils.py> # noqa: E501
Args:
img (Tensor): of shape (N, C, H, W) e... | 46 | 1,778 |
mmdetection | mmdet/utils/profiling.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import contextlib
import sys
import time
import torch
if sys.version_info >= (3, 7):
@contextlib.contextmanager
def profile_time(trace_name,
name,
enabled=True,
stream=None,
end... | 41 | 1,336 |
mmdetection | mmdet/utils/setup_env.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import logging
import os
import platform
import warnings
import cv2
import torch.multiprocessing as mp
from mmengine import DefaultScope
from mmengine.logging import print_log
from mmengine.utils import digit_version
def setup_cache_size_limit_of_dynamo... | 119 | 5,383 |
mmdetection | mmdet/utils/util_mixins.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""This module defines the :class:`NiceRepr` mixin class, which defines a
``__repr__`` and ``__str__`` method that only depend on a custom ``__nice__``
method, which you must define. This means you only have to overload one
function instead of two. Furthermore, if the ob... | 106 | 3,712 |
mmdetection | mmdet/utils/util_random.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
"""Helpers for random number generators."""
import numpy as np
def ensure_rng(rng=None):
"""Coerces input into a random number generator.
If the input is None, then a global random state is returned.
If the input is a numeric value, then that is used as a ... | 35 | 1,025 |
mmdetection | mmdet/utils/mot_error_visualize.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Union
try:
import seaborn as sns
except ImportError:
sns = None
import cv2
import matplotlib.pyplot as plt
import mmcv
import numpy as np
from matplotlib.patches import Rectangle
from mmengine.utils import mkdir_or_exist
... | 274 | 9,476 |
mmdetection | mmdet/utils/memory.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from collections import abc
from contextlib import contextmanager
from functools import wraps
import torch
from mmengine.logging import MMLogger
def cast_tensor_type(inputs, src_type=None, dst_type=None):
"""Recursively convert Tensor in inputs from... | 213 | 8,099 |
mmdetection | mmdet/utils/dist_utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import pickle
import warnings
from collections import OrderedDict
import numpy as np
import torch
import torch.distributed as dist
from mmengine.dist import get_dist_info
from torch._utils import (_flatten_dense_tensors, _take_tensors,
... | 185 | 6,194 |
mmdetection | mmdet/structures/track_data_sample.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence
import numpy as np
import torch
from mmengine.structures import BaseDataElement
from .det_data_sample import DetDataSample
class TrackDataSample(BaseDataElement):
"""A data structure interface of tracking task in MMDetec... | 274 | 10,349 |
mmdetection | mmdet/structures/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .det_data_sample import DetDataSample, OptSampleList, SampleList
from .reid_data_sample import ReIDDataSample
from .track_data_sample import (OptTrackSampleList, TrackDataSample,
TrackSampleList)
__all__ = [
'DetDataSample', 'Samp... | 11 | 429 |
mmdetection | mmdet/structures/det_data_sample.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
from mmengine.structures import BaseDataElement, InstanceData, PixelData
class DetDataSample(BaseDataElement):
"""A data structure interface of MMDetection. They are used as interfaces
between different components.
The att... | 238 | 8,412 |
mmdetection | mmdet/structures/reid_data_sample.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from numbers import Number
from typing import Sequence, Union
import mmengine
import numpy as np
import torch
from mmengine.structures import BaseDataElement, LabelData
def format_label(value: Union[torch.Tensor, np.ndarray, Sequence, int],
num_classes... | 124 | 4,299 |
mmdetection | mmdet/structures/mask/utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pycocotools.mask as mask_util
import torch
from mmengine.utils import slice_list
def split_combined_polys(polys, poly_lens, polys_per_mask):
"""Split the combined 1-D polys into masks.
A mask is represented as a list of polys, and a po... | 78 | 2,508 |
mmdetection | mmdet/structures/mask/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .mask_target import mask_target
from .structures import (BaseInstanceMasks, BitmapMasks, PolygonMasks,
bitmap_to_polygon, polygon_to_bitmap)
from .utils import encode_mask_results, mask2bbox, split_combined_polys
__all__ = [
'split_combi... | 12 | 486 |
mmdetection | mmdet/structures/mask/structures.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
from abc import ABCMeta, abstractmethod
from typing import Sequence, Type, TypeVar
import cv2
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import shapely.geometry as geometry
import torch
from mmcv.ops.roi_align import roi_align
T... | 1,194 | 44,891 |
mmdetection | mmdet/structures/mask/mask_target.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from torch.nn.modules.utils import _pair
def mask_target(pos_proposals_list, pos_assigned_gt_inds_list, gt_masks_list,
cfg):
"""Compute mask target for positive proposals in multiple images.
Args:
pos_prop... | 128 | 5,264 |
mmdetection | mmdet/structures/bbox/base_boxes.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod, abstractproperty, abstractstaticmethod
from typing import List, Optional, Sequence, Tuple, Type, TypeVar, Union
import numpy as np
import torch
from torch import BoolTensor, Tensor
from mmdet.structures.mask.structures import Bit... | 550 | 20,934 |
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