OpenCv3.2.0+python

原始版本：
import numpy as npimport cv2from matplotlib import pyplot as pltimg = cv2.imread('simple.jpg',0)# Initiate FAST object with default valuesfast = cv2.FastFeatureDetector()# find and draw the keypointskp = fast.detect(img,None)img2 = cv2.drawKeypoints(img, kp, color=(255,0,0))# Print all default paramsprint "Threshold: ", fast.getInt('threshold')print "nonmaxSuppression: ", fast.getBool('nonmaxSuppression')print "neighborhood: ", fast.getInt('type')print "Total Keypoints with nonmaxSuppression: ", len(kp)cv2.imwrite('fast_true.png',img2)# Disable nonmaxSuppressionfast.setBool('nonmaxSuppression',0)kp = fast.detect(img,None)print "Total Keypoints without nonmaxSuppression: ", len(kp)img3 = cv2.drawKeypoints(img, kp, color=(255,0,0))cv2.imwrite('fast_false.png',img3)


修改版本:
import numpy as npimport cv2from matplotlib import pyplot as pltimg = cv2.imread('../data/empire.jpg',0)# Initiate FAST object with default valuesfast = cv2.FastFeatureDetector_create()# find and draw the keypointskp = fast.detect(img,None)img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))# Print all default params# print "Threshold: ", fast.getThreshold()# print "nonmaxSuppression: ", fast.getNonmaxSuppression()# print "neighborhood: ", fast.getType()# print "Total Keypoints with nonmaxSuppression: ", len(kp)cv2.imwrite('fast_true.png',img2)# Disable nonmaxSuppressionfast.setNonmaxSuppression(0)         #this is differentkp = fast.detect(img,None)print "Total Keypoints without nonmaxSuppression: ", len(kp)img3 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))cv2.imwrite('fast_false.png',img3)
版本问题，将流传的一部分代码修改即可运行~
附上document:http://docs.opencv.org/3.2.0/df/d0c/tutorial_py_fast.html
                                             
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