25 lines
1.0 KiB
Python
25 lines
1.0 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .base_dataset import BaseDataset
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from .builder import (DATASETS, PIPELINES, SAMPLERS, build_dataloader,
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build_dataset, build_sampler)
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from .cifar import CIFAR10, CIFAR100
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from .cub import CUB
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from .custom import CustomDataset
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from .dataset_wrappers import (ClassBalancedDataset, ConcatDataset,
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KFoldDataset, RepeatDataset)
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from .imagenet import ImageNet, ImageNet21k
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from .mnist import MNIST, FashionMNIST
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from .multi_label import MultiLabelDataset
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from .pipelines import * # noqa: F401,F403
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from .samplers import DistributedSampler, RepeatAugSampler
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from .voc import VOC
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__all__ = [
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'BaseDataset', 'ImageNet', 'CIFAR10', 'CIFAR100', 'MNIST', 'FashionMNIST',
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'VOC', 'build_dataloader', 'build_dataset', 'DistributedSampler',
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'ConcatDataset', 'RepeatDataset', 'ClassBalancedDataset', 'DATASETS',
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'PIPELINES', 'ImageNet21k', 'SAMPLERS', 'build_sampler',
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'RepeatAugSampler', 'KFoldDataset', 'CUB', 'CustomDataset',
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'MultiLabelDataset'
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]
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