...利的边缘 类方法detect(image)： 检测图像关键点extract(image, keypoints, scales, orientations)： 为给定关键点提取rBRIEF描述符detect_and_extract(image)： 检测图像关键点并提取rBRIEF描述符，此方法比用上面两步要快 对象属性keypoints: 关键点坐标...
...;detector SURF=cv2.xfeatures2d_SURF.create() #computekeypoint&descriptions keypoint1,descriptor1=SURF.detectAndCompute(img1_gray,None) keypoint2,descriptor2=SURF.detectAndCompute(img2_g...
...efault values fast = cv2.FastFeatureDetector_create() # find and draw the keypoints kp = fast.detect(img,None) img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0)) # Print all default params ...
...值9先加入堆中 pq.offer(0); // prev用于记录上次keypoint的高度 int prev = 0; for(int[] h:height) { // 将左顶点加入堆中 if(h[1] < 0) { pq.offer(-h[1]);...
...) # trainImage # Initiate ORB detector orb = cv2.ORB_create() # find the keypoints and descriptors with ORB kp1, des1 = orb.detectAndCompute(img1,None) kp2, des2 = orb.detectAndCompute(img2,None)...
...ead(img.jpg) # Initiate ORB detector orb = cv2.ORB_create() # find the keypoints with ORB kp = orb.detect(img,None) # compute the descriptors with ORB kp, des = orb.compute(img, kp) # draw only...
...et Hessian Threshold to 400 surf = cv2.xfeatures2d.SURF_create(400) # Find keypoints and descriptors directly kp, des = surf.detectAndCompute(img,None) print(len(kp)) output:3477 # Check present He...
...t = cv2.xfeatures2d.SIFT_create() kp = sift.detect(gray,None) img=cv2.drawKeypoints(gray,kp,img) cv2.imshow(img,img) cv2.waitKey() NOTE:lz直接运行上述代码时，程序报错：module cv2.cv2 has no attribute xfeatures...
...# Initiate SIFT detector sift = cv2.xfeatures2d.SIFT_create() # find the keypoints and descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 = sift.detectAndCompute(img2,No...
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