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Open Source Computer Vision Library
https://opencv.org/
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52 lines
1.5 KiB
52 lines
1.5 KiB
15 years ago
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#!/usr/bin/env python
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# 2009-01-16, Xavier Delacour <xavier.delacour@gmail.com>
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import unittest
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from numpy import *;
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from numpy.linalg import *;
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import sys;
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import cvtestutils
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from cv import *;
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from adaptors import *;
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## these are mostly to test bindings, since there are more/better tests in tests/cxcore
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def verify(x,y):
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x = Ipl2NumPy(x);
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assert(all(abs(x - y)<1e-4));
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class roots_test(unittest.TestCase):
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def test_cvSolvePoly(self):
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verify(cvSolvePoly(asmatrix([-1,1]).astype(float64)),
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array([[(1.000000, 0.000000)]]));
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verify(cvSolvePoly(asmatrix([-1,1]).astype(float32)),
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array([[(1.000000, 0.000000)]]));
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verify(cvSolvePoly(asmatrix([-1,0,0,0,0,1]).astype(float64)),
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array([[(1, 0)],[(0.309017, 0.951057)],[(0.309017, -0.951057)],
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[(-0.809017, 0.587785)],[(-0.809017, -0.587785)]]))
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verify(cvSolvePoly(asmatrix([-1,0,0,0,0,1]).astype(float32)),
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array([[(1, 0)],[(0.309017, 0.951057)],[(0.309017, -0.951057)],
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[(-0.809017, 0.587785)],[(-0.809017, -0.587785)]]))
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def test_cvSolveCubic(self):
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verify(cvSolveCubic(asmatrix([-1,0,0,1]).astype(float32))[1],
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array([[1],[0],[0]]));
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verify(cvSolveCubic(asmatrix([-1,0,0,1]).astype(float64))[1],
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array([[1],[0],[0]]));
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def suite():
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return unittest.TestLoader().loadTestsFromTestCase(roots_test)
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if __name__ == '__main__':
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unittest.TextTestRunner(verbosity=2).run(suite())
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