wehub-resource-sync
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
#!/usr/bin/env python
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'''
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ECC multiscale alignment test
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import inspect
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import math
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from tests_common import NewOpenCVTests
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class eccms_test(NewOpenCVTests):
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def test_eccms(self):
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expected_res = np.array([
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[1.0225, 0.0606, -28.6452],
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[-0.0475, 1.0314, 11.819],
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[8.21e-06, -3.65e-07, 1.0]
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], dtype=np.float32)
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largeGray0 = self.get_sample('cv/shared/halmosh0.jpg', cv.IMREAD_GRAYSCALE)
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largeGray1 = self.get_sample('cv/shared/halmosh2.jpg', cv.IMREAD_GRAYSCALE)
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roiMask0 = self.get_sample('cv/shared/halmosh0mask.png', cv.IMREAD_GRAYSCALE)
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roiMask1 = self.get_sample('cv/shared/halmosh2mask.png', cv.IMREAD_GRAYSCALE)
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if largeGray0 is None or largeGray1 is None or roiMask0 is None or roiMask1 is None:
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self.assertEqual(0, 1, 'Missing test data')
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found = np.eye(3, 3, dtype=np.float32)
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n_iters = 23
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termination_eps = 1e-6
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params = cv.ECCParameters()
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params.criteria = (cv.TERM_CRITERIA_COUNT + cv.TERM_CRITERIA_EPS, n_iters, termination_eps)
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params.motionType = cv.MOTION_HOMOGRAPHY
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params.nlevels = 5
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params.itersPerLevel = [5, 10, 300, 300, 1000]
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_, found = cv.findTransformECCMultiScale(largeGray0,largeGray1, found, params, roiMask0, roiMask1)
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self.assertLess(cv.norm(found - expected_res, cv.NORM_L1), 0.1)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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