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46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import os.path as osp
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import pytest
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from mmselfsup.datasets import DeepClusterDataset
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# dataset settings
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data_source = 'ImageNet'
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dataset_type = 'DeepClusterDataset'
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img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
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train_pipeline = [dict(type='RandomResizedCrop', size=4)]
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# prefetch
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prefetch = False
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if not prefetch:
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train_pipeline.extend(
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[dict(type='ToTensor'),
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dict(type='Normalize', **img_norm_cfg)])
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def test_deepcluster_dataset():
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data = dict(
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data_source=dict(
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type=data_source,
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data_prefix=osp.join(osp.dirname(__file__), '../../data'),
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ann_file=osp.join(
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osp.dirname(__file__), '../../data/data_list.txt'),
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),
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pipeline=train_pipeline,
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prefetch=prefetch)
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dataset = DeepClusterDataset(**data)
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x = dataset[0]
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assert x['img'].size() == (3, 4, 4)
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assert x['pseudo_label'] == -1
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assert x['idx'] == 0
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with pytest.raises(AssertionError):
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dataset.assign_labels([1])
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dataset.assign_labels([1, 0])
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assert dataset.clustering_labels[0] == 1
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assert dataset.clustering_labels[1] == 0
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x = dataset[0]
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assert x['pseudo_label'] == 1
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