|
11 | 11 |
|
12 | 12 | class aruco_test(NewOpenCVTests): |
13 | 13 |
|
14 | | - def test_idsAccessibility(self): |
15 | | - |
16 | | - ids = np.arange(17) |
17 | | - rev_ids = ids[::-1] |
18 | | - |
19 | | - aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_5X5_250) |
20 | | - board = cv.aruco.CharucoBoard_create(7, 5, 1, 0.5, aruco_dict) |
21 | | - |
22 | | - np.testing.assert_array_equal(board.getIds().squeeze(), ids) |
23 | | - |
24 | | - board = cv.aruco.CharucoBoard_create(7, 5, 1, 0.5, aruco_dict, rev_ids) |
25 | | - np.testing.assert_array_equal(board.getIds().squeeze(), rev_ids) |
26 | | - |
27 | | - board = cv.aruco.CharucoBoard_create(7, 5, 1, 0.5, aruco_dict, ids) |
28 | | - np.testing.assert_array_equal(board.getIds().squeeze(), ids) |
29 | | - |
30 | 14 | def test_drawCharucoDiamond(self): |
31 | 15 | aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_50) |
32 | 16 | img = cv.aruco.drawCharucoDiamond(aruco_dict, np.array([0, 1, 2, 3]), 100, 80) |
@@ -61,76 +45,5 @@ def test_write_read_dict(self): |
61 | 45 | if os.path.exists(filename): |
62 | 46 | os.remove(filename) |
63 | 47 |
|
64 | | - def test_identify(self): |
65 | | - aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_50) |
66 | | - expected_idx = 9 |
67 | | - expected_rotation = 2 |
68 | | - bit_marker = np.array([[0, 1, 1, 0], [1, 0, 1, 0], [1, 1, 1, 1], [0, 0, 1, 1]], dtype=np.uint8) |
69 | | - |
70 | | - check, idx, rotation = aruco_dict.identify(bit_marker, 0) |
71 | | - |
72 | | - self.assertTrue(check, True) |
73 | | - self.assertEqual(idx, expected_idx) |
74 | | - self.assertEqual(rotation, expected_rotation) |
75 | | - |
76 | | - def test_getDistanceToId(self): |
77 | | - aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_50) |
78 | | - idx = 7 |
79 | | - rotation = 3 |
80 | | - bit_marker = np.array([[0, 1, 0, 1], [0, 1, 1, 1], [1, 1, 0, 0], [0, 1, 0, 0]], dtype=np.uint8) |
81 | | - dist = aruco_dict.getDistanceToId(bit_marker, idx) |
82 | | - |
83 | | - self.assertEqual(dist, 0) |
84 | | - |
85 | | - def test_aruco_detector(self): |
86 | | - aruco_params = cv.aruco.DetectorParameters() |
87 | | - aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_250) |
88 | | - aruco_detector = cv.aruco.ArucoDetector(aruco_dict, aruco_params) |
89 | | - id = 2 |
90 | | - marker_size = 100 |
91 | | - offset = 10 |
92 | | - img_marker = cv.aruco.drawMarker(aruco_dict, id, marker_size, aruco_params.markerBorderBits) |
93 | | - img_marker = np.pad(img_marker, pad_width=offset, mode='constant', constant_values=255) |
94 | | - gold_corners = np.array([[offset, offset],[marker_size+offset-1.0,offset], |
95 | | - [marker_size+offset-1.0,marker_size+offset-1.0], |
96 | | - [offset, marker_size+offset-1.0]], dtype=np.float32) |
97 | | - expected_corners, expected_ids, expected_rejected = cv.aruco.detectMarkers(img_marker, aruco_dict, |
98 | | - parameters=aruco_params) |
99 | | - |
100 | | - corners, ids, rejected = aruco_detector.detectMarkers(img_marker) |
101 | | - |
102 | | - self.assertEqual(1, len(ids)) |
103 | | - self.assertEqual(id, ids[0]) |
104 | | - for i in range(0, len(ids)): |
105 | | - np.testing.assert_array_equal(expected_corners[i], corners[i]) |
106 | | - np.testing.assert_array_equal(gold_corners, corners[i].reshape(4, 2)) |
107 | | - |
108 | | - def test_aruco_detector_refine(self): |
109 | | - aruco_params = cv.aruco.DetectorParameters() |
110 | | - aruco_dict = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_250) |
111 | | - aruco_detector = cv.aruco.ArucoDetector(aruco_dict, aruco_params) |
112 | | - board_size = (3, 4) |
113 | | - board = cv.aruco.GridBoard_create(board_size[0], board_size[1], 5.0, 1.0, aruco_dict) |
114 | | - board_image = board.draw((board_size[0]*50, board_size[1]*50), marginSize=10) |
115 | | - |
116 | | - corners, ids, rejected = aruco_detector.detectMarkers(board_image) |
117 | | - self.assertEqual(board_size[0]*board_size[1], len(ids)) |
118 | | - |
119 | | - part_corners, part_ids, part_rejected = corners[:-1], ids[:-1], list(rejected) |
120 | | - part_rejected.append(corners[-1]) |
121 | | - |
122 | | - refine_corners, refine_ids, refine_rejected, recovered_ids = aruco_detector.refineDetectedMarkers(board_image, board, part_corners, part_ids, part_rejected) |
123 | | - refine_corners_c, _, _, _ = cv.aruco.refineDetectedMarkers(board_image, board, part_corners, part_ids, part_rejected) |
124 | | - |
125 | | - self.assertEqual(board_size[0] * board_size[1], len(refine_ids)) |
126 | | - self.assertEqual(1, len(recovered_ids)) |
127 | | - |
128 | | - for i in range(0, len(ids)): |
129 | | - np.testing.assert_array_equal(refine_corners_c[i], refine_corners[i]) |
130 | | - #self.assertEqual(ids[-1], recovered_ids[0]) |
131 | | - self.assertEqual(ids[-1], refine_ids[-1]) |
132 | | - self.assertEqual((1, 4, 2), refine_corners[0].shape) |
133 | | - np.testing.assert_array_equal(corners, refine_corners) |
134 | | - |
135 | 48 | if __name__ == '__main__': |
136 | 49 | NewOpenCVTests.bootstrap() |
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