我只是在做一个OpenCV中特征检测的例子。该示例如下所示。它给我以下错误
模块”对象没有属性“ drawMatches”
我已经检查了OpenCV文档，但不确定为什么会出现此错误。有人知道为什么吗？
import numpy as np import cv2 import matplotlib.pyplot as plt img1 = cv2.imread('box.png',0) # queryImage img2 = cv2.imread('box_in_scene.png',0) # trainImage # Initiate SIFT detector orb = cv2.ORB() # find the keypoints and descriptors with SIFT kp1, des1 = orb.detectAndCompute(img1,None) kp2, des2 = orb.detectAndCompute(img2,None) # create BFMatcher object bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True) # Match descriptors. matches = bf.match(des1,des2) # Draw first 10 matches. img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10], flags=2) plt.imshow(img3),plt.show()
错误：
Traceback (most recent call last): File "match.py", line 22, in <module> img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10], flags=2) AttributeError: 'module' object has no attribute 'drawMatches'
该drawMatches函数不是Python界面的一部分。 正如您在docs中看到的那样，它仅C++在当前定义。
drawMatches
C++
摘录自文档：
C++: void drawMatches(const Mat& img1, const vector<KeyPoint>& keypoints1, const Mat& img2, const vector<KeyPoint>& keypoints2, const vector<DMatch>& matches1to2, Mat& outImg, const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1), const vector<char>& matchesMask=vector<char>(), int flags=DrawMatchesFlags::DEFAULT ) C++: void drawMatches(const Mat& img1, const vector<KeyPoint>& keypoints1, const Mat& img2, const vector<KeyPoint>& keypoints2, const vector<vector<DMatch>>& matches1to2, Mat& outImg, const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1), const vector<vector<char>>& matchesMask=vector<vector<char> >(), int flags=DrawMatchesFlags::DEFAULT )
如果该函数具有Python接口，则会发现以下内容：
Python: cv2.drawMatches(img1, keypoints1, [...])
编辑
实际上，有一个提交在5个月前引入了此功能。但是，官方文档中尚未（尚未）。 确保您使用的是最新的OpenCV版本（2.4.7）。为了完整起见，OpenCV 3.0.0的Functions接口看起来像这样：
cv2.drawMatches(img1, keypoints1, img2, keypoints2, matches1to2[, outImg[, matchColor[, singlePointColor[, matchesMask[, flags]]]]]) → outImg
