wehub-resource-sync
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
# Copyright (c) 2021 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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import os
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import tempfile
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import unittest
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import cv2
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import numpy as np
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from op_test import get_device_place, is_custom_device, paddle_static_guard
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import paddle
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from paddle.vision.ops import decode_jpeg, read_file
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class TestReadFileWithDynamic(unittest.TestCase):
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def setUp(self):
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fake_img = (np.random.random((400, 300, 3)) * 255).astype('uint8')
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self.temp_dir = tempfile.TemporaryDirectory()
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self.img_path = os.path.join(self.temp_dir.name, 'fake.jpg')
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cv2.imwrite(self.img_path, fake_img)
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def tearDown(self):
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self.temp_dir.cleanup()
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def test_read_file_decode_jpeg_dynamic(self):
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if not (paddle.is_compiled_with_cuda() or is_custom_device()):
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return
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img_bytes = read_file(self.img_path)
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img = decode_jpeg(img_bytes, mode='gray')
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img = decode_jpeg(img_bytes, mode='rgb')
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img = decode_jpeg(img_bytes)
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img_cv2 = cv2.imread(self.img_path)
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np.testing.assert_equal(img.shape, img_cv2.transpose(2, 0, 1).shape)
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class TestReadFileWithStatic(unittest.TestCase):
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def setUp(self):
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fake_img = (np.random.random((400, 300, 3)) * 255).astype('uint8')
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self.temp_dir = tempfile.TemporaryDirectory()
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self.img_path = os.path.join(self.temp_dir.name, 'fake.jpg')
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cv2.imwrite(self.img_path, fake_img)
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def tearDown(self):
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self.temp_dir.cleanup()
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def test_read_file_decode_jpeg_static(self):
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paddle.enable_static()
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if not (paddle.is_compiled_with_cuda() or is_custom_device()):
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return
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place = get_device_place()
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with (
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paddle_static_guard(),
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paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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),
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):
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img_bytes = read_file(self.img_path)
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img = decode_jpeg(img_bytes, mode='gray')
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img = decode_jpeg(img_bytes, mode='rgb')
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img = decode_jpeg(img_bytes)
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img_cv2 = cv2.imread(self.img_path)
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exe = paddle.static.Executor(place)
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out = exe.run(
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paddle.static.default_main_program(), fetch_list=[img]
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)
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np.testing.assert_equal(
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out[0].shape, img_cv2.transpose(2, 0, 1).shape
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)
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paddle.disable_static()
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if __name__ == '__main__':
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unittest.main()
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