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Open Source Computer Vision Library
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64 lines
2.3 KiB
64 lines
2.3 KiB
#!/usr/bin/env python |
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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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from tests_common import NewOpenCVTests |
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class solvepnp_test(NewOpenCVTests): |
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def test_regression_16040(self): |
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obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32) |
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img_points = np.array( |
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[[700, 400], [700, 600], [900, 600], [900, 400]], dtype=np.float32 |
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) |
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cameraMatrix = np.array( |
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[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32 |
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) |
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distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32) |
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r = np.array([], dtype=np.float32) |
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x, r, t, e = cv.solvePnPGeneric( |
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obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r |
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) |
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def test_regression_16040_2(self): |
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obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32) |
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img_points = np.array( |
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[[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32 |
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) |
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cameraMatrix = np.array( |
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[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32 |
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) |
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distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32) |
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r = np.array([], dtype=np.float32) |
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x, r, t, e = cv.solvePnPGeneric( |
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obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r |
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) |
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def test_regression_16049(self): |
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obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32) |
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img_points = np.array( |
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[[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32 |
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) |
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cameraMatrix = np.array( |
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[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32 |
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) |
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distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32) |
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x, r, t, e = cv.solvePnPGeneric( |
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obj_points, img_points, cameraMatrix, distCoeffs |
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) |
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if e is None: |
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# noArray() is supported, see https://github.com/opencv/opencv/issues/16049 |
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pass |
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else: |
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eDump = cv.utils.dumpInputArray(e) |
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self.assertEqual(eDump, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=1 dims(-1)=2 size(-1)=1x1 type(-1)=CV_32FC1") |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap()
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