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[Docs] add copyright (open-mmlab#1099)
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import os | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import os | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import os | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import copy as cp | ||
import os | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import json | ||
import random | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import argparse | ||
import time | ||
from collections import deque | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import mmcv | ||
from mmcv import digit_version | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os | ||
import os.path as osp | ||
import re | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
import pickle | ||
import shutil | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy as cp | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from .max_iou_assigner_ava import MaxIoUAssignerAVA | ||
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__all__ = ['MaxIoUAssignerAVA'] |
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import torch | ||
import torch.nn.functional as F | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. |
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import csv | ||
import logging | ||
import time | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import json | ||
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import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os | ||
import os.path as osp | ||
import warnings | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from .output import OutputHook | ||
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__all__ = ['OutputHook'] |
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import functools | ||
import warnings | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from mmcv.runner import OPTIMIZERS | ||
from torch.optim import SGD | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from .omnisource_runner import OmniSourceDistSamplerSeedHook, OmniSourceRunner | ||
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__all__ = ['OmniSourceRunner', 'OmniSourceDistSamplerSeedHook'] |
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from .lr_updater import TINLrUpdaterHook | ||
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__all__ = ['TINLrUpdaterHook'] |
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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import torch | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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import torch | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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from .builder import DATASETS | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os.path as osp | ||
import warnings | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from abc import ABCMeta, abstractmethod | ||
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import torch | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import platform | ||
import random | ||
from functools import partial | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import numpy as np | ||
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from .builder import DATASETS, build_dataset | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from collections.abc import Sequence | ||
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import mmcv | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy as cp | ||
import io | ||
import os | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy as cp | ||
import pickle | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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import mmcv | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os.path as osp | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os.path as osp | ||
import random | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import math | ||
from collections import defaultdict | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import copy | ||
import os.path as osp | ||
import warnings | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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from .base import BaseDataset | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import os.path as osp | ||
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import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from itertools import groupby | ||
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import numpy as np | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from ..builder import BACKBONES | ||
from .resnet3d import ResNet3d | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import warnings | ||
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import torch.nn as nn | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import warnings | ||
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import torch | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
import torch | ||
import torch.nn as nn | ||
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# Copyright (c) OpenMMLab. All rights reserved. | ||
from copy import deepcopy | ||
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import torch.nn as nn | ||
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