78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
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# Copyright 2023 The Android Open Source Project
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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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"""Tests for opencv_processing_utils."""
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import math
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import os
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import unittest
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import cv2
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import opencv_processing_utils
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class Cv2ImageProcessingUtilsTests(unittest.TestCase):
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"""Unit tests for this module."""
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def test_get_angle_identify_rotated_chessboard_angle(self):
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"""Unit test to check extracted angles from images."""
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# Array of the image files and angles containing rotated chessboards.
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test_cases = [
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('', 0),
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('_15_ccw', -15),
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('_30_ccw', -30),
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('_45_ccw', -45),
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('_60_ccw', -60),
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('_75_ccw', -75),
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]
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test_fails = ''
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# For each rotated image pair (normal, wide), check angle against expected.
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for suffix, angle in test_cases:
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# Define image paths.
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normal_img_path = os.path.join(
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opencv_processing_utils.TEST_IMG_DIR,
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f'rotated_chessboards/normal{suffix}.jpg')
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wide_img_path = os.path.join(
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opencv_processing_utils.TEST_IMG_DIR,
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f'rotated_chessboards/wide{suffix}.jpg')
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# Load and color-convert images.
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normal_img = cv2.cvtColor(cv2.imread(normal_img_path), cv2.COLOR_BGR2GRAY)
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wide_img = cv2.cvtColor(cv2.imread(wide_img_path), cv2.COLOR_BGR2GRAY)
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# Assert angle as expected.
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normal = opencv_processing_utils.get_angle(normal_img)
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wide = opencv_processing_utils.get_angle(wide_img)
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valid_angles = (angle, angle+90) # try both angle & +90 due to squares
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e_msg = (f'\n Rotation angle test failed: {angle}, extracted normal: '
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f'{normal:.2f}, wide: {wide:.2f}, valid_angles: {valid_angles}')
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matched_angles = False
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for a in valid_angles:
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if (math.isclose(normal, a,
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abs_tol=opencv_processing_utils.ANGLE_CHECK_TOL) and
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math.isclose(wide, a,
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abs_tol=opencv_processing_utils.ANGLE_CHECK_TOL)):
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matched_angles = True
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if not matched_angles:
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test_fails += e_msg
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self.assertEqual(len(test_fails), 0, test_fails)
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if __name__ == '__main__':
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unittest.main()
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