Webimport numpy as np import cv2 as cv # 读取图片并显示 original = cv.imread('../data ... mixture) # 创建SIFT特征点检测器 sift =cv.xfeatures2d.SIFT_create() # 用sift特征坚持器检测gray所有特征点 keypoints1 = sift.detect(gray) mixture1 = original.copy() # 将特征点描绘在图中 cv.drawKeypoints(original,keypoints1 ... Web我最近使用 OpenCV 3.4.1 切换回 python 进行面部检测和模式识别但是在运行 OpenCV 进行点识别时,我得到了错误. AttributeError: module 'cv2.cv2' has no attribute 'SIFT_create' 我已阅读将行从 sift = cv2.SIFT_create() 更改为 sift = sift = cv2.xfeatures2d.SIFT_create() 应该可以解决此问题.
sift检测,用surf计算python - CSDN文库
WebAug 22, 2024 · Одним из алгоритмов по поиску дескрипторов, является SIFT (Scale-Invariant Feature Transform). Несмотря на то, ... sift = cv2.xfeatures2d.SIFT_create() features_left = sift.detectAndCompute(left_image, None) WebAug 21, 2024 · sift = ( cv2.SIFT_create() ) # extract key points from image; keypoints are particularly interesting or stand out; descriptors describe keypoints 5. Detect the keypoints & compute the descriptors. The SIFT object consists of a function that identifies and detects the descriptors and keypoints in any image. greek gods that start with a p
无法在OpenCV Python中找到SIFT或xfeatures2d - IT宝库
Web# -*- coding: utf-8 -*- """ Created on Mon May 30 15:31:08 2024 默认图像DPI为300 支持jpg格式图像 有疑问联系作者:[email protected] """ import cv2 import numpy as np def … Webdef BFMatch_SIFT(img1, img2): # 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, None) # BFMatcher with default params bf = cv2.BFMatcher() matches = bf.knnMatch(des1, des2, k=2) # Apply ratio test good = [] for … WebFeb 4, 2024 · SIFT's patent has expired in last July. in versions > 4.4, the detector init command has changed to cv2.SIFT_create(). If you're not using opencv's GUI, It's … greek gods that start with h