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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
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# Copyright (c) OpenMMLab. All rights reserved.
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import os.path as osp
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import random
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import string
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import tempfile
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import numpy as np
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from PIL import Image
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from mmselfsup.datasets.utils import check_integrity, rm_suffix, to_numpy
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def test_to_numpy():
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pil_img = Image.open(osp.join(osp.dirname(__file__), '../data/color.jpg'))
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np_img = to_numpy(pil_img)
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assert type(np_img) == np.ndarray
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if np_img.ndim < 3:
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assert np_img.shape[0] == 1
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elif np_img.ndim == 3:
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assert np_img.shape[0] == 3
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def test_dataset_utils():
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# test rm_suffix
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assert rm_suffix('a.jpg') == 'a'
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assert rm_suffix('a.bak.jpg') == 'a.bak'
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assert rm_suffix('a.bak.jpg', suffix='.jpg') == 'a.bak'
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assert rm_suffix('a.bak.jpg', suffix='.bak.jpg') == 'a'
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# test check_integrity
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rand_file = ''.join(random.sample(string.ascii_letters, 10))
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assert not check_integrity(rand_file, md5=None)
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assert not check_integrity(rand_file, md5=2333)
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tmp_file = tempfile.NamedTemporaryFile()
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assert check_integrity(tmp_file.name, md5=None)
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assert not check_integrity(tmp_file.name, md5=2333)
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