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