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test case for #342
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@ -244,6 +244,40 @@ class FunctionTests(OpenCVTests):
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vely = cv.CreateImage(vel_size, cv.IPL_DEPTH_32F, 1)
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cv.CalcOpticalFlowBM(a, b, (8,8), (1,1), (8,8), 0, velx, vely)
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def test_CalcOpticalFlowPyrLK(self):
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a = self.get_sample("samples/c/lena.jpg", 0)
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map = cv.CreateMat(2, 3, cv.CV_32FC1)
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cv.GetRotationMatrix2D((256, 256), 10, 1.0, map)
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b = cv.CloneMat(a)
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cv.WarpAffine(a, b, map)
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eig_image = cv.CreateMat(a.rows, a.cols, cv.CV_32FC1)
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temp_image = cv.CreateMat(a.rows, a.cols, cv.CV_32FC1)
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prevPyr = cv.CreateMat(a.rows / 3, a.cols + 8, cv.CV_8UC1)
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currPyr = cv.CreateMat(a.rows / 3, a.cols + 8, cv.CV_8UC1)
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prevFeatures = cv.GoodFeaturesToTrack(a, eig_image, temp_image, 400, 0.01, 0.01)
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(currFeatures, status, track_error) = cv.CalcOpticalFlowPyrLK(a,
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b,
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prevPyr,
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currPyr,
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prevFeatures,
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(10, 10),
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3,
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(cv.CV_TERMCRIT_ITER|cv.CV_TERMCRIT_EPS,20, 0.03),
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0)
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if 1: # enable visualization
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print
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print sum(status), "Points found in curr image"
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for prev,this in zip(prevFeatures, currFeatures):
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iprev = tuple([int(c) for c in prev])
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ithis = tuple([int(c) for c in this])
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cv.Circle(a, iprev, 3, 255)
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cv.Circle(a, ithis, 3, 0)
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cv.Line(a, iprev, ithis, 128)
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self.snapL([a, b])
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def test_CartToPolar(self):
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x = cv.CreateMat(5, 5, cv.CV_32F)
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y = cv.CreateMat(5, 5, cv.CV_32F)
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@ -1969,6 +2003,7 @@ class NewTests(OpenCVTests):
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pass
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if __name__ == '__main__':
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print "testing", cv.__version__
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random.seed(0)
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optlist, args = getopt.getopt(sys.argv[1:], 'l:rd')
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loops = 1
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