repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/example_project/dummy/dummy_resnet.py | projects/example_project/dummy/dummy_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.backbones import ResNet
from mmdet.registry import MODELS
@MODELS.register_module()
class DummyResNet(ResNet):
"""Implements a dummy ResNet wrapper for demonstration purpose.
Args:
**kwargs: All the arguments are passed to the parent cl... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/projects/example_project/configs/faster-rcnn_dummy-resnet_fpn_1x_coco.py | projects/example_project/configs/faster-rcnn_dummy-resnet_fpn_1x_coco.py | _base_ = ['../../../configs/faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py']
custom_imports = dict(imports=['projects.example_project.dummy'])
_base_.model.backbone.type = 'DummyResNet'
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/registry.py | mmdet/registry.py | # Copyright (c) OpenMMLab. All rights reserved.
"""MMDetection provides 17 registry nodes to support using modules across
projects. Each node is a child of the root registry in MMEngine.
More details can be found at
https://mmengine.readthedocs.io/en/latest/tutorials/registry.html.
"""
from mmengine.registry import D... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/version.py | mmdet/version.py | # Copyright (c) OpenMMLab. All rights reserved.
__version__ = '3.3.0'
short_version = __version__
def parse_version_info(version_str):
"""Parse a version string into a tuple.
Args:
version_str (str): The version string.
Returns:
tuple[int | str]: The version info, e.g., "1.3.0" is parsed... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/__init__.py | mmdet/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import mmengine
from mmengine.utils import digit_version
from .version import __version__, version_info
mmcv_minimum_version = '2.0.0rc4'
mmcv_maximum_version = '2.2.0'
mmcv_version = digit_version(mmcv.__version__)
mmengine_minimum_version = '0.7.1'
mmengi... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/reid_data_sample.py | mmdet/structures/reid_data_sample.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/track_data_sample.py | mmdet/structures/track_data_sample.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/__init__.py | mmdet/structures/__init__.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/det_data_sample.py | mmdet/structures/det_data_sample.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/box_type.py | mmdet/structures/bbox/box_type.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Callable, Optional, Tuple, Type, Union
import numpy as np
import torch
from torch import Tensor
from .base_boxes import BaseBoxes
BoxType = Union[np.ndarray, Tensor, BaseBoxes]
box_types: dict = {}
_box_type_to_name: dict = {}
box_converters: dict =... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/base_boxes.py | mmdet/structures/bbox/base_boxes.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/horizontal_boxes.py | mmdet/structures/bbox/horizontal_boxes.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, TypeVar, Union
import cv2
import numpy as np
import torch
from torch import BoolTensor, Tensor
from mmdet.structures.mask.structures import BitmapMasks, PolygonMasks
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_ov... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/bbox_overlaps.py | mmdet/structures/bbox/bbox_overlaps.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def fp16_clamp(x, min=None, max=None):
if not x.is_cuda and x.dtype == torch.float16:
# clamp for cpu float16, tensor fp16 has no clamp implementation
return x.float().clamp(min, max).half()
return x.clamp(min, max)
def bbox_overl... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/__init__.py | mmdet/structures/bbox/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_overlaps
from .box_type import (autocast_box_type, convert_box_type, get_box_type,
register_box, register_box_converter)
from .horizontal_boxes import HorizontalBoxes
from .transforms... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/bbox/transforms.py | mmdet/structures/bbox/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes
def find_inside_bboxes(bboxes: Tensor, img_h: int, img_w: int) -> Tensor:
"""Find bboxes as long as a par... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/mask/mask_target.py | mmdet/structures/mask/mask_target.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/mask/utils.py | mmdet/structures/mask/utils.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/mask/__init__.py | mmdet/structures/mask/__init__.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/structures/mask/structures.py | mmdet/structures/mask/structures.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/visualization/local_visualizer.py | mmdet/visualization/local_visualizer.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple, Union
import cv2
import mmcv
import numpy as np
try:
import seaborn as sns
except ImportError:
sns = None
import torch
from mmengine.dist import master_only
from mmengine.structures import InstanceData, PixelData
f... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/visualization/palette.py | mmdet/visualization/palette.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import mmcv
import numpy as np
from mmengine.utils import is_str
def palette_val(palette: List[tuple]) -> List[tuple]:
"""Convert palette to matplotlib palette.
Args:
palette (List[tuple]): A list of color tuples.
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/visualization/__init__.py | mmdet/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .local_visualizer import DetLocalVisualizer, TrackLocalVisualizer
from .palette import get_palette, jitter_color, palette_val
__all__ = [
'palette_val', 'get_palette', 'DetLocalVisualizer', 'jitter_color',
'TrackLocalVisualizer'
]
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/coco_panoptic.py | mmdet/datasets/coco_panoptic.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/dod.py | mmdet/datasets/dod.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List, Optional
import numpy as np
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
try:
from d_cube import D3
except ImportError:
D3 = None
from .api_wrappers import COCO
@DATASETS.regis... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/odvg.py | mmdet/datasets/odvg.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os.path as osp
from typing import List, Optional
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
@DATASETS.register_module()
class ODVGDataset(BaseDetDataset):
"""object... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/reid_dataset.py | mmdet/datasets/reid_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from collections import defaultdict
from typing import Any, Dict, List
import numpy as np
from mmengine.dataset import BaseDataset
from mmengine.utils import check_file_exist
from mmdet.registry import DATASETS
@DATASETS.register_modu... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/coco.py | mmdet/datasets/coco.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/objects365.py | mmdet/datasets/objects365.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .api_wrappers import COCO
from .coco import CocoDataset
# images exist in annotations but not in image folder.
objv2_ignore_lis... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/youtube_vis_dataset.py | mmdet/datasets/youtube_vis_dataset.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/dataset_wrappers.py | mmdet/datasets/dataset_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import collections
import copy
from typing import List, Sequence, Union
from mmengine.dataset import BaseDataset
from mmengine.dataset import ConcatDataset as MMENGINE_ConcatDataset
from mmengine.dataset import force_full_init
from mmdet.registry import DATASETS, TRANSF... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/voc.py | mmdet/datasets/voc.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .xml_style import XMLDataset
@DATASETS.register_module()
class VOCDataset(XMLDataset):
"""Dataset for PASCAL VOC."""
METAINFO = {
'classes':
('aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car'... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/mot_challenge_dataset.py | mmdet/datasets/mot_challenge_dataset.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/deepfashion.py | mmdet/datasets/deepfashion.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class DeepFashionDataset(CocoDataset):
"""Dataset for DeepFashion."""
METAINFO = {
'classes': ('top', 'skirt', 'leggings', 'dress', 'outer', 'pants',
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/mdetr_style_refcoco.py | mmdet/datasets/mdetr_style_refcoco.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/crowdhuman.py | mmdet/datasets/crowdhuman.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/isaid.py | mmdet/datasets/isaid.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class iSAIDDataset(CocoDataset):
"""Dataset for iSAID instance segmentation.
iSAID: A Large-scale Dataset for Instance Segmentation
in Aerial Images.
For more... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/base_video_dataset.py | mmdet/datasets/base_video_dataset.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/lvis.py | mmdet/datasets/lvis.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."""
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/base_semseg_dataset.py | mmdet/datasets/base_semseg_dataset.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/utils.py | mmdet/datasets/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import LoadImageFromFile
from mmdet.datasets.transforms import LoadAnnotations, LoadPanopticAnnotations
from mmdet.registry import TRANSFORMS
def get_loading_pipeline(pipeline):
"""Only keep loading image and annotations related configuration.... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/ade20k.py | mmdet/datasets/ade20k.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/coco_caption.py | mmdet/datasets/coco_caption.py | # Copyright (c) OpenMMLab. All rights reserved.
from pathlib import Path
from typing import List
import mmengine
from mmengine.dataset import BaseDataset
from mmengine.fileio import get_file_backend
from mmdet.registry import DATASETS
@DATASETS.register_module()
class CocoCaptionDataset(BaseDataset):
"""COCO201... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/openimages.py | mmdet/datasets/openimages.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 ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/coco_semantic.py | mmdet/datasets/coco_semantic.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/cityscapes.py | mmdet/datasets/cityscapes.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/v3det.py | mmdet/datasets/v3det.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/wider_face.py | mmdet/datasets/wider_face.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 ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/__init__.py | mmdet/datasets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .ade20k import (ADE20KInstanceDataset, ADE20KPanopticDataset,
ADE20KSegDataset)
from .base_det_dataset import BaseDetDataset
from .base_semseg_dataset import BaseSegDataset
from .base_video_dataset import BaseVideoDataset
from .cityscapes import ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/dsdl.py | mmdet/datasets/dsdl.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)... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/base_det_dataset.py | mmdet/datasets/base_det_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List, Optional
from mmengine.dataset import BaseDataset
from mmengine.fileio import load
from mmengine.utils import is_abs
from ..registry import DATASETS
@DATASETS.register_module()
class BaseDetDataset(BaseDataset):
"""Ba... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/flickr30k.py | mmdet/datasets/flickr30k.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List
from pycocotools.coco import COCO
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
def convert_phrase_ids(phrase_ids: list) -> list:
unique_elements = sorted(set(phrase_ids))
element... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/refcoco.py | mmdet/datasets/refcoco.py | # Copyright (c) OpenMMLab. All rights reserved.
import collections
import os.path as osp
import random
from typing import Dict, List
import mmengine
from mmengine.dataset import BaseDataset
from mmdet.registry import DATASETS
@DATASETS.register_module()
class RefCocoDataset(BaseDataset):
"""RefCOCO dataset.
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/xml_style.py | mmdet/datasets/xml_style.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/api_wrappers/coco_api.py | mmdet/datasets/api_wrappers/coco_api.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(_... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/api_wrappers/cocoeval_mp.py | mmdet/datasets/api_wrappers/cocoeval_mp.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/api_wrappers/__init__.py | mmdet/datasets/api_wrappers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coco_api import COCO, COCOeval, COCOPanoptic
from .cocoeval_mp import COCOevalMP
__all__ = ['COCO', 'COCOeval', 'COCOPanoptic', 'COCOevalMP']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/text_transformers.py | mmdet/datasets/transforms/text_transformers.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/wrappers.py | mmdet/datasets/transforms/wrappers.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/colorspace.py | mmdet/datasets/transforms/colorspace.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/geometric.py | mmdet/datasets/transforms/geometric.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/transformers_glip.py | mmdet/datasets/transforms/transformers_glip.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/augment_wrappers.py | mmdet/datasets/transforms/augment_wrappers.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/loading.py | mmdet/datasets/transforms/loading.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/__init__.py | mmdet/datasets/transforms/__init__.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/instaboost.py | mmdet/datasets/transforms/instaboost.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/frame_sampling.py | mmdet/datasets/transforms/frame_sampling.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/transforms.py | mmdet/datasets/transforms/transforms.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/transforms/formatting.py | mmdet/datasets/transforms/formatting.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/track_img_sampler.py | mmdet/datasets/samplers/track_img_sampler.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 ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/multi_data_sampler.py | mmdet/datasets/samplers/multi_data_sampler.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/class_aware_sampler.py | mmdet/datasets/samplers/class_aware_sampler.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/multi_source_sampler.py | mmdet/datasets/samplers/multi_source_sampler.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 ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/batch_sampler.py | mmdet/datasets/samplers/batch_sampler.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/custom_sample_size_sampler.py | mmdet/datasets/samplers/custom_sample_size_sampler.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/datasets/samplers/__init__.py | mmdet/datasets/samplers/__init__.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... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/__init__.py | mmdet/models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backbones import * # noqa: F401,F403
from .data_preprocessors import * # noqa: F401,F403
from .dense_heads import * # noqa: F401,F403
from .detectors import * # noqa: F401,F403
from .language_models import * # noqa: F401,F403
from .layers import * # noqa: F401... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/language_models/bert.py | mmdet/models/language_models/bert.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from typing import Sequence
import torch
from mmengine.model import BaseModel
from torch import nn
try:
from transformers import AutoTokenizer, BertConfig
from transformers import BertModel as HFBertModel
except ImportError:
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/language_models/__init__.py | mmdet/models/language_models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .bert import BertModel
__all__ = ['BertModel']
| python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/roi_embed_head.py | mmdet/models/tracking_heads/roi_embed_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import defaultdict
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.models.loss... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/mask2former_track_head.py | mmdet/models/tracking_heads/mask2former_track_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from collections import defaultdict
from typing import Dict, List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d
from mmcv.ops import point_sample
from mmengine.model import ModuleList
from mmengine.model... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/roi_track_head.py | mmdet/models/tracking_heads/roi_track_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta
from typing import List, Optional, Tuple
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures import TrackSampleList
from mmdet.structures.bbox import bbox2roi
from mmd... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/__init__.py | mmdet/models/tracking_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .mask2former_track_head import Mask2FormerTrackHead
from .quasi_dense_embed_head import QuasiDenseEmbedHead
from .quasi_dense_track_head import QuasiDenseTrackHead
from .roi_embed_head import RoIEmbedHead
from .roi_track_head import RoITrackHead
__all__ = [
'Qua... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/quasi_dense_track_head.py | mmdet/models/tracking_heads/quasi_dense_track_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures import TrackSampleList
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import InstanceList
... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/tracking_heads/quasi_dense_embed_head.py | mmdet/models/tracking_heads/quasi_dense_embed_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.models.task_modules import SamplingResult
from ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/ga_rpn_head.py | mmdet/models/dense_heads/ga_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.ops import nms
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import ConfigT... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/tood_head.py | mmdet/models/dense_heads/tood_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale
from mmcv.ops import deform_conv2d
from mmengine import MessageHub
from mmengine.config import ConfigDict
from mmengine.mode... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/embedding_rpn_head.py | mmdet/models/dense_heads/embedding_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox_cxcywh_to_xyxy
from mmdet.stru... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/conditional_detr_head.py | mmdet/models/dense_heads/conditional_detr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch
import torch.nn as nn
from mmengine.model import bias_init_with_prob
from torch import Tensor
from mmdet.models.layers.transformer import inverse_sigmoid
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/solov2_head.py | mmdet/models/dense_heads/solov2_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional, Tuple
import mmcv
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
f... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/ddod_head.py | mmdet/models/dense_heads/ddod_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmengine.model import bias_init_with_prob, normal_init
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.regi... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/sabl_retina_head.py | mmdet/models/dense_heads/sabl_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/atss_vlfusion_head.py | mmdet/models/dense_heads/atss_vlfusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from typing import Callable, List, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Scale
from mmcv.ops.modulated_deform_conv import ModulatedDeformConv2d
from mmengine.config... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/dense_test_mixins.py | mmdet/models/dense_heads/dense_test_mixins.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
import warnings
from inspect import signature
import torch
from mmcv.ops import batched_nms
from mmengine.structures import InstanceData
from mmdet.structures.bbox import bbox_mapping_back
from ..test_time_augs import merge_aug_proposals
if sys.version_info ... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/ssd_head.py | mmdet/models/dense_heads/ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.ut... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/centernet_update_head.py | mmdet/models/dense_heads/centernet_update_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import Scale
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox2distance... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/fsaf_head.py | mmdet/models/dense_heads/fsaf_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple
import numpy as np
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList, OptMultiConfig
from ..losses.acc... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/yolo_head.py | mmdet/models/dense_heads/yolo_head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import copy
import warnings
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, is_norm
from mmengine.m... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/fovea_head.py | mmdet/models/dense_heads/fovea_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
f... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/dab_detr_head.py | mmdet/models/dense_heads/dab_detr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn as nn
from mmcv.cnn import Linear
from mmengine.model import bias_init_with_prob, constant_init
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import InstanceLi... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | false |
open-mmlab/mmdetection | https://github.com/open-mmlab/mmdetection/blob/cfd5d3a985b0249de009b67d04f37263e11cdf3d/mmdet/models/dense_heads/grounding_dino_head.py | mmdet/models/dense_heads/grounding_dino_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmcv.cnn import Linear
from mmengine.model import constant_init
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.... | python | Apache-2.0 | cfd5d3a985b0249de009b67d04f37263e11cdf3d | 2026-01-04T14:42:57.197037Z | true |
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