@文心快码cv2.orb_create提高精确 文心快码 要提高ORB(Oriented FAST and Rotated BRIEF)特征检测的精确度,可以通过调整cv2.ORB_create()函数中的关键参数来实现。以下是一些建议,可以帮助你提高ORB特征检测的精确度: 增加特征点数量(nfeatures): 参数nfeatures指定了要检测的最大特征点数量。增加这个值可以让算法...
SIFT和SURF算法是有专利保护的,但是ORB不需要。 ORB基本是FAST关键点检测和BRIEF关键点描述器的结合体,并通过很多修改增强了性能。 示例代码: import cv2 from matplotlib import pyplot as plt img = cv2.imread('D:\\tmp\\timg.jpg', 0) orb = cv2.ORB_create() kp,des = orb.detectAndCompute(img, N...
img2 = cv2.imread('matching-image.jpg',0) orb = cv2.ORB_create() kp1, des1 = orb.detectAndCompute(img1,None) kp2, des2 = orb.detectAndCompute(img2,None) bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck = True) matches = bf.match(des1, des2) matches = bf.match(des1, des2)...
orb = cv2.xfeatures2d.orb_create(nfeatures) 参数说明: 1.nfeatures:特征点的最大值 返回值:orb对象 # 2/3 利用orb对象的detectAndCompute()来检测关键点并计算 kp, desc = orb.detectAndCompute(grayImg, None) 参数说明: gray:进行关键点检测的图像,灰度图 返回: kp:关键点信息,包括位置、尺度、方向...
ScoreType Static ORB_HARRIS_SCORE := 0 Static ORB_FAST_SCORE := 1 ; DetectorType Static FAST_FEATURE_DETECTOR_TYPE_5_8 := 0 Static FAST_FEATURE_DETECTOR_TYPE_7_12 := 1 Static FAST_FEATURE_DETECTOR_TYPE_9_16 := 2 ; anonymous Static FAST_FEATURE_DETECTOR_THRESHOLD := 10000 Static FAST...
cv2.ORB_create().detectAndCompute(img1,None)——返回的是数据结构为KeyPoint的数据,和矩阵descriptors。 KeyPoint包含6个子项,pt, angle, response, size, octave, class_id: pt:特征点的坐标,是两个浮点型数据。 angle:关键点方向,浮点型。 response:响应强度,匹配得好不好。
orb = cv2.ORB_create() kp1, des1 = orb.detectAndCompute(image1, None) kp2, des2 = orb.detectAndCompute(image2, None) bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True) matches = bf.match(des1, des2) matches = sorted(matches, key=lambda x: x.distance) ...
ScoreType Static ORB_HARRIS_SCORE := 0 Static ORB_FAST_SCORE := 1 ; DetectorType Static FAST_FEATURE_DETECTOR_TYPE_5_8 := 0 Static FAST_FEATURE_DETECTOR_TYPE_7_12 := 1 Static FAST_FEATURE_DETECTOR_TYPE_9_16 := 2 ; anonymous Static FAST_FEATURE_DETECTOR_THRESHOLD := 10000 Static FAST...
We will share code in both C++ and Python. We will demonstrate the steps by way of an example in which we will ... Tags: BRISK cv2.cvtColor cv2.DescriptorMatcher_create cv2.drawMatches cv2.findHomography cv2.ORB_create cv2.warpPerspective descriptor image alignment image registration keypoint ...