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a05c79e806
* [Refactor] Move transforms in mmselfsup to mmpretrain. * Update transform docs and configs. And register some mmcv transforms in mmpretrain. * Fix missing transform wrapper. * update selfsup transforms * Fix UT * Fix UT * update gaussianblur inconfigs --------- Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import numpy as np
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from mmcv.transforms import Resize
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from mmpretrain.datasets import GaussianBlur, MultiView, Solarize
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def test_multi_view():
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original_img = np.ones((4, 4, 3), dtype=np.uint8)
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# test 1 pipeline with 2 views
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pipeline1 = [
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Resize(2),
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GaussianBlur(magnitude_range=(0.1, 2), magnitude_std='inf')
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]
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transform = MultiView([pipeline1], 2)
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results = dict(img=original_img)
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results = transform(results)
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assert len(results['img']) == 2
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assert results['img'][0].shape == (2, 2, 3)
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transform = MultiView([pipeline1], [2])
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results = dict(img=original_img)
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results = transform(results)
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assert len(results['img']) == 2
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assert results['img'][0].shape == (2, 2, 3)
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# test 2 pipeline with 3 views
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pipeline2 = [
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Solarize(thr=128),
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GaussianBlur(magnitude_range=(0.1, 2), magnitude_std='inf')
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]
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transform = MultiView([pipeline1, pipeline2], [1, 2])
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results = dict(img=original_img)
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results = transform(results)
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assert len(results['img']) == 3
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assert results['img'][0].shape == (2, 2, 3)
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assert results['img'][1].shape == (4, 4, 3)
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# test repr
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assert isinstance(str(transform), str)
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