diff --git a/modules/python/test/test2.py b/modules/python/test/test2.py index c7491ad974f75a02be05e69aa375c4dea17e3742..6876d3915bdb46e2461421d354d4082fce4ea7cb 100644 --- a/modules/python/test/test2.py +++ b/modules/python/test/test2.py @@ -41,12 +41,47 @@ class Hackathon244Tests(NewOpenCVTests): absa0 = np.abs(a) self.assert_(cv2.norm(a, cv2.NORM_L1) == 15) absa1 = cv2.absdiff(a, 0) - self.assert_(cv2.norm(absa1, absa0, cv2.NORM_INF) == 0) + self.assertEqual(cv2.norm(absa1, absa0, cv2.NORM_INF), 0) def test_imencode(self): a = np.zeros((480, 640), dtype=np.uint8) flag, ajpg = cv2.imencode("img_q90.jpg", a, [cv2.IMWRITE_JPEG_QUALITY, 90]) - self.assert_(flag == True and ajpg.dtype == np.uint8 and ajpg.shape[0] > 1 and ajpg.shape[1] == 1) + self.assertEqual(flag, True) + self.assertEqual(ajpg.dtype, np.uint8) + self.assertGreater(ajpg.shape[0], 1) + self.assertEqual(ajpg.shape[1], 1) + + def test_projectPoints(self): + objpt = np.float64([[1,2,3]]) + imgpt0, jac0 = cv2.projectPoints(objpt, np.zeros(3), np.zeros(3), np.eye(3), np.float64([])) + imgpt1, jac1 = cv2.projectPoints(objpt, np.zeros(3), np.zeros(3), np.eye(3), None) + self.assertEqual(imgpt0.shape, (objpt.shape[0], 1, 2)) + self.assertEqual(imgpt1.shape, imgpt0.shape) + self.assertEqual(jac0.shape, jac1.shape) + self.assertEqual(jac0.shape[0], 2*objpt.shape[0]) + + def test_estimateAffine3D(self): + pattern_size = (11, 8) + pattern_points = np.zeros((np.prod(pattern_size), 3), np.float32) + pattern_points[:,:2] = np.indices(pattern_size).T.reshape(-1, 2) + pattern_points *= 10 + (retval, out, inliers) = cv2.estimateAffine3D(pattern_points, pattern_points) + self.assertEqual(retval, 1) + if cv2.norm(out[2,:]) < 1e-3: + out[2,2]=1 + self.assertLess(cv2.norm(out, np.float64([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0]])), 1e-3) + self.assertEqual(cv2.countNonZero(inliers), pattern_size[0]*pattern_size[1]) + + def test_fast(self): + fd = cv2.FastFeatureDetector(30, True) + img = self.get_sample("samples/cpp/right02.jpg", 0) + img = cv2.medianBlur(img, 3) + imgc = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) + keypoints = fd.detect(img) + self.assert_(600 <= len(keypoints) <= 700) + for kpt in keypoints: + self.assertNotEqual(kpt.response, 0) + if __name__ == '__main__': print "testing", cv.__version__