Opencv 3.2 C ++。我正在创建一个方法,可以采用任何一组关键点描述符,并使用用户指定的任何匹配算法。当我尝试构建我的代码时,我得到以下错误。
更新 - 当我运行在OpenCV网站上发现的升级标准Flann教程时,它执行时没有错误。这让我相信问题出在Xcode上,但我仍然不能100%肯定。
我正在使用xcode并且仍然在弄清楚界面,并且没有特定的说明导致错误。我的代码如下:`
std::tuple<std::vector< DMatch >,Mat> matchFeatures(std::vector<KeyPoint> kp1, Mat desc1, std::vector<KeyPoint>
kp2, Mat desc2, String keypointsMatcher){
std::vector< DMatch > matches;
vector<vector< DMatch >> knnMatches;
double max_dist = 0, min_dist = 100;
Mat homography;
if(keypointsMatcher == "bruteForce"){
BFMatcher matcher;
matcher.match(desc1, desc2, matches);
}
else if( keypointsMatcher == "flann" ){
if(desc1.type()!=CV_32F) {
desc1.convertTo(desc1, CV_32F);
}
if(desc2.type()!=CV_32F) {
desc2.convertTo(desc1, CV_32F);
}
FlannBasedMatcher matcher;
matcher.match( desc1, desc2, matches );
}
//-Run Knn Flann based matcher. Will create a vector of vectors (vector<vector< DMatch >>)
else if (keypointsMatcher == "knn"){
if(desc1.type()!=CV_32F) {
desc1.convertTo(desc1, CV_32F);
}
if(desc2.type()!=CV_32F) {
desc2.convertTo(desc1, CV_32F);
}
FlannBasedMatcher matcher;
matcher.knnMatch(desc1, desc2, knnMatches, 2);
}
//-- Quick calculation of max and min distances between keypoints
for( int i = 0; i < desc1.rows; i++ ){
double dist = matches[i].distance;
if( dist < min_dist ) min_dist = dist;
if( dist > max_dist ) max_dist = dist;
}
return{matches,homography};
}`
感谢任何帮助!
答案 0 :(得分:1)
我发现问题是对头文件做的。在OpenCV中,Flann似乎有自己的框架:
#include <opencv2/features2d.hpp>
#include <opencv2/xfeatures2d.hpp>
要解决,只需添加以下标题并准确链接.hpp文件。
#include <opencv2/flann.hpp>
答案 1 :(得分:0)
@ C.Radford
您应该检查自己的代码,desc2.convertTo(desc1, CV_32F)
应为desc2.convertTo(desc2, CV_32F);
if(desc1.type()!=CV_32F) {
desc1.convertTo(desc1, CV_32F);
}
if(desc2.type()!=CV_32F) {
//desc2.convertTo(desc1, CV_32F);
desc2.convertTo(desc2, CV_32F);
}