chore: import upstream snapshot with attribution
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# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Filename:
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test_image.py
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Description:
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This script test image resize,flip and chw.
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"""
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import os
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import unittest
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import numpy as np
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from paddle.dataset import image
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__all__ = []
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class Image(unittest.TestCase):
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"""
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This function is test image resize,flip and chw.
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"""
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def test_resize_flip_chw(self):
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"""resize"""
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img_dir = os.path.join(
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os.path.dirname(os.path.abspath(__file__)), 'cat.jpg'
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)
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images = image.load_image(img_dir)
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images = image.resize_short(images, 256)
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self.assertEqual(256, min(images.shape[:2]))
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self.assertEqual(3, images.shape[2])
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# flip
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images = image.left_right_flip(images)
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images2 = np.flip(images, 1)
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self.assertEqual(images.all(), images2.all())
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# to_chw
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height, width, channel = images.shape
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images = image.to_chw(images)
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self.assertEqual(channel, images.shape[0])
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self.assertEqual(height, images.shape[1])
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self.assertEqual(width, images.shape[2])
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if __name__ == '__main__':
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unittest.main()
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