1#!/usr/bin/env python 2 3import cv2.cv as cv 4import unittest 5 6class TestGoodFeaturesToTrack(unittest.TestCase): 7 def test(self): 8 arr = cv.LoadImage("../samples/c/lena.jpg", 0) 9 original = cv.CloneImage(arr) 10 size = cv.GetSize(arr) 11 eig_image = cv.CreateImage(size, cv.IPL_DEPTH_32F, 1) 12 temp_image = cv.CreateImage(size, cv.IPL_DEPTH_32F, 1) 13 threshes = [ x / 100. for x in range(1,10) ] 14 15 results = dict([(t, cv.GoodFeaturesToTrack(arr, eig_image, temp_image, 20000, t, 2, useHarris = 1)) for t in threshes]) 16 17 # Check that GoodFeaturesToTrack has not modified input image 18 self.assert_(arr.tostring() == original.tostring()) 19 20 # Check for repeatability 21 for i in range(10): 22 results2 = dict([(t, cv.GoodFeaturesToTrack(arr, eig_image, temp_image, 20000, t, 2, useHarris = 1)) for t in threshes]) 23 self.assert_(results == results2) 24 25 for t0,t1 in zip(threshes, threshes[1:]): 26 r0 = results[t0] 27 r1 = results[t1] 28 29 # Increasing thresh should make result list shorter 30 self.assert_(len(r0) > len(r1)) 31 32 # Increasing thresh should monly truncate result list 33 self.assert_(r0[:len(r1)] == r1) 34 35if __name__ == '__main__': 36 unittest.main() 37
