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#!/usr/bin/env python
import cv2.cv as cv
import unittest
class TestGoodFeaturesToTrack(unittest.TestCase):
def test(self):
arr = cv.LoadImage("../samples/c/lena.jpg", 0)
original = cv.CloneImage(arr)
size = cv.GetSize(arr)
eig_image = cv.CreateImage(size, cv.IPL_DEPTH_32F, 1)
temp_image = cv.CreateImage(size, cv.IPL_DEPTH_32F, 1)
threshes = [ x / 100. for x in range(1,10) ]
results = dict([(t, cv.GoodFeaturesToTrack(arr, eig_image, temp_image, 20000, t, 2, useHarris = 1)) for t in threshes])
# Check that GoodFeaturesToTrack has not modified input image
self.assert_(arr.tostring() == original.tostring())
# Check for repeatability
for i in range(10):
results2 = dict([(t, cv.GoodFeaturesToTrack(arr, eig_image, temp_image, 20000, t, 2, useHarris = 1)) for t in threshes])
self.assert_(results == results2)
for t0,t1 in zip(threshes, threshes[1:]):
r0 = results[t0]
r1 = results[t1]
# Increasing thresh should make result list shorter
self.assert_(len(r0) > len(r1))
# Increasing thresh should monly truncate result list
self.assert_(r0[:len(r1)] == r1)
if __name__ == '__main__':
unittest.main()
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