#593 add ConvertImage
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@ -1546,6 +1546,10 @@ CalcOpticalFlowFarneback
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int flags 0
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# Highgui
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ConvertImage
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CvArr src
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CvArr dst
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int flags 0
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NamedWindow
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char* name
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int flags CV_WINDOW_AUTOSIZE
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@ -313,6 +313,15 @@ class FunctionTests(OpenCVTests):
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# just check that something was drawn
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self.assert_(cv.Sum(img)[0] > 0)
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def test_ConvertImage(self):
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i1 = cv.GetImage(self.get_sample("samples/c/lena.jpg", 1))
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i2 = cv.CloneImage(i1)
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i3 = cv.CloneImage(i1)
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cv.ConvertImage(i1, i2, cv.CV_CVTIMG_FLIP + cv.CV_CVTIMG_SWAP_RB)
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self.assertNotEqual(self.hashimg(i1), self.hashimg(i2))
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cv.ConvertImage(i2, i3, cv.CV_CVTIMG_FLIP + cv.CV_CVTIMG_SWAP_RB)
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self.assertEqual(self.hashimg(i1), self.hashimg(i3))
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def test_ConvexHull2(self):
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# Draw a series of N-pointed stars, find contours, assert the contour is not convex,
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# assert the hull has N segments, assert that there are N convexity defects.
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@ -618,6 +627,13 @@ class FunctionTests(OpenCVTests):
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self.assertEqual(aslist(m2), range(5, 9))
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self.assertEqual(aslist(m3), range(6, 8))
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def test_grabCut(self):
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image = self.get_sample("samples/c/lena.jpg", cv.CV_LOAD_IMAGE_COLOR)
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tmp1 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
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tmp2 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
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mask = cv.CreateMat(image.rows, image.cols, cv.CV_8UC1)
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cv.grabCut(image, mask, (10,10,200,200), tmp1, tmp2, 10, cv.GC_INIT_WITH_RECT)
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def test_HoughLines2_PROBABILISTIC(self):
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li = cv.HoughLines2(self.yield_line_image(),
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cv.CreateMemStorage(),
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