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Merge pull request #456 from vpisarev:python_ptseq_fix
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commit
716e0192b3
@ -47,11 +47,15 @@ CV_IMPL CvSeq* cvPointSeqFromMat( int seq_kind, const CvArr* arr,
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CV_Assert( arr != 0 && contour_header != 0 && block != 0 );
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int eltype;
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CvMat hdr;
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CvMat* mat = (CvMat*)arr;
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if( !CV_IS_MAT( mat ))
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CV_Error( CV_StsBadArg, "Input array is not a valid matrix" );
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if( CV_MAT_CN(mat->type) == 1 && mat->width == 2 )
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mat = cvReshape(mat, &hdr, 2);
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eltype = CV_MAT_TYPE( mat->type );
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if( eltype != CV_32SC2 && eltype != CV_32FC2 )
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CV_Error( CV_StsUnsupportedFormat,
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@ -82,8 +82,39 @@ class Hackathon244Tests(NewOpenCVTests):
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for kpt in keypoints:
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self.assertNotEqual(kpt.response, 0)
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def check_close_angles(self, a, b, angle_delta):
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self.assert_(abs(a - b) <= angle_delta or
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abs(360 - abs(a - b)) <= angle_delta)
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def check_close_pairs(self, a, b, delta):
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self.assertLessEqual(abs(a[0] - b[0]), delta)
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self.assertLessEqual(abs(a[1] - b[1]), delta)
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def check_close_boxes(self, a, b, delta, angle_delta):
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self.check_close_pairs(a[0], b[0], delta)
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self.check_close_pairs(a[1], b[1], delta)
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self.check_close_angles(a[2], b[2], angle_delta)
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def test_geometry(self):
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npt = 100
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np.random.seed(244)
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a = np.random.randn(npt,2).astype('float32')*50 + 150
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img = np.zeros((300, 300, 3), dtype='uint8')
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be = cv2.fitEllipse(a)
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br = cv2.minAreaRect(a)
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mc, mr = cv2.minEnclosingCircle(a)
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be0 = ((150.2511749267578, 150.77322387695312), (158.024658203125, 197.57696533203125), 37.57804489135742)
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br0 = ((161.2974090576172, 154.41793823242188), (199.2301483154297, 207.7177734375), -9.164555549621582)
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mc0, mr0 = (160.41790771484375, 144.55152893066406), 136.713500977
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self.check_close_boxes(be, be0, 5, 15)
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self.check_close_boxes(br, br0, 5, 15)
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self.check_close_pairs(mc, mc0, 5)
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self.assertLessEqual(abs(mr - mr0), 5)
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if __name__ == '__main__':
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print "testing", cv.__version__
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print "testing", cv2.__version__
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random.seed(0)
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unittest.main()
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