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Make test_texture_flow.py more robust
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@ -21,31 +21,24 @@ class texture_flow_test(NewOpenCVTests):
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def test_texture_flow(self):
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img = self.get_sample('samples/data/pic6.png')
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img = self.get_sample('samples/data/chessboard.png')
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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h, w = img.shape[:2]
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eigen = cv2.cornerEigenValsAndVecs(gray, 15, 3)
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eigen = cv2.cornerEigenValsAndVecs(gray, 5, 3)
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eigen = eigen.reshape(h, w, 3, 2) # [[e1, e2], v1, v2]
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flow = eigen[:,:,2]
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vis = img.copy()
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vis[:] = (192 + np.uint32(vis)) / 2
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d = 80
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d = 300
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eps = d / 30
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points = np.dstack( np.mgrid[d/2:w:d, d/2:h:d] ).reshape(-1, 2)
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textureVectors = []
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for x, y in np.int32(points):
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textureVectors.append(np.int32(flow[y, x]*d))
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eps = 0.05
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testTextureVectors = [[0, 0], [0, 0], [0, 0], [0, 0], [0, 0],
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[-38, 70], [-79, 3], [0, 0], [0, 0], [-39, 69], [-79, -1],
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[0, 0], [0, 0], [0, -79], [17, -78], [-48, -63], [65, -46],
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[-69, -39], [-48, -63], [-45, 66]]
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for i in range(len(textureVectors)):
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self.assertLessEqual(cv2.norm(textureVectors[i] - testTextureVectors[i], cv2.NORM_L2), eps)
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self.assertTrue(cv2.norm(textureVectors[i], cv2.NORM_L2) < eps
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or abs(cv2.norm(textureVectors[i], cv2.NORM_L2) - d) < eps)
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