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attempt to add 0d/1d mat support to OpenCV (#23473)
* attempt to add 0d/1d mat support to OpenCV * revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1. * a step towards 'green' tests * another little step towards 'green' tests * calib test failures seem to be fixed now * more fixes _core & _dnn * another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported! * * fixed strange bug in aruco/charuco detector, not sure why it did not work * also fixed a few remaining failures (hopefully) in dnn & core * disabled failing GAPI tests - too complex to dig into this compiler pipeline * hopefully fixed java tests * trying to fix some more tests * quick followup fix * continue to fix test failures and warnings * quick followup fix * trying to fix some more tests * partly fixed support for 0D/scalar UMat's * use updated parseReduce() from upstream * trying to fix the remaining test failures * fixed [ch]aruco tests in Python * still trying to fix tests * revert "fix" in dnn's CUDA tensor * trying to fix dnn+CUDA test failures * fixed 1D umat creation * hopefully fixed remaining cuda test failures * removed training whitespaces
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Regular → Executable
+3
-3
@@ -31,7 +31,7 @@ class houghlines_test(NewOpenCVTests):
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src = self.get_sample(fn)
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dst = cv.Canny(src, 50, 200)
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lines = cv.HoughLinesP(dst, 1, math.pi/180.0, 40, np.array([]), 50, 10)[:,0,:]
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lines = cv.HoughLinesP(dst, 1, math.pi/180.0, 40, np.array([]), 50, 10)[:,:]
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eps = 5
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testLines = [
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@@ -65,8 +65,8 @@ class houghlines_test(NewOpenCVTests):
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self.assertGreater(float(matches_counter) / len(testLines), .7)
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lines_acc = cv.HoughLinesWithAccumulator(dst, rho=1, theta=np.pi / 180, threshold=150, srn=0, stn=0)
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self.assertEqual(lines_acc[0,0,2], 192.0)
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self.assertEqual(lines_acc[1,0,2], 187.0)
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self.assertEqual(lines_acc[0,2], 192.0)
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self.assertEqual(lines_acc[1,2], 187.0)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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