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@ -1080,6 +1080,7 @@ class AreaTests(OpenCVTests): |
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def test_remap(self): |
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rng = cv.RNG(0) |
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maxError = 1e-6 |
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raw = cv.CreateImage((640, 480), cv.IPL_DEPTH_8U, 1) |
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for x in range(0, 640, 20): |
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cv.Line(raw, (x,0), (x,480), 255, 1) |
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@ -1118,6 +1119,7 @@ class AreaTests(OpenCVTests): |
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cv.Undistort2(p, up, intrinsic_mat, distortion_coeffs) |
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fptypes = [cv.CV_32FC1, cv.CV_64FC1] |
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pointsCount = 7 |
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for t0 in fptypes: |
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for t1 in fptypes: |
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for t2 in fptypes: |
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@ -1126,15 +1128,17 @@ class AreaTests(OpenCVTests): |
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translation_vector = cv.CreateMat(1, 3, t1) |
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cv.RandArr(rng, rotation_vector, cv.CV_RAND_UNI, -1.0, 1.0) |
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cv.RandArr(rng, translation_vector, cv.CV_RAND_UNI, -1.0, 1.0) |
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object_points = cv.CreateMat(7, 3, t2) |
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image_points = cv.CreateMat(7, 2, t3) |
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object_points = cv.CreateMat(pointsCount, 3, t2) |
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image_points = cv.CreateMat(pointsCount, 2, t3) |
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cv.RandArr(rng, object_points, cv.CV_RAND_UNI, -100.0, 100.0) |
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cv.ProjectPoints2(object_points, rotation_vector, translation_vector, intrinsic_mat, distortion_coeffs, image_points) |
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object_points = cv.CreateMat(3, 7, t2) |
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image_points = cv.CreateMat(2, 7, t3) |
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cv.RandArr(rng, object_points, cv.CV_RAND_UNI, -100.0, 100.0) |
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cv.ProjectPoints2(object_points, rotation_vector, translation_vector, intrinsic_mat, distortion_coeffs, image_points) |
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reshaped_object_points = cv.Reshape(object_points, 1, 3) |
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reshaped_image_points = cv.CreateMat(2, pointsCount, t3) |
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cv.ProjectPoints2(object_points, rotation_vector, translation_vector, intrinsic_mat, distortion_coeffs, reshaped_image_points) |
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error = cv.Norm(reshaped_image_points, cv.Reshape(image_points, 1, 2)) |
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self.assert_(error < maxError) |
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def test_arithmetic(self): |
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a = cv.CreateMat(4, 4, cv.CV_8UC1) |
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