百度上说时野指针或者内存溢出,怎么解决?
#include "stdafx.h"
#include
#include
#include
#include
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
system("color 6F");
Mat trainImage = imread("1.jpg"), trainImage_gray;
imshow("原始图", trainImage);
cvtColor(trainImage, trainImage_gray, CV_BGR2GRAY);
//检测surf关键点,提取训练图像描述符
vector<KeyPoint>train_keyPoint;
Mat trainDescriptor;
SurfFeatureDetector featureDetector(80);
featureDetector.detect(trainImage_gray, train_keyPoint);
SurfDescriptorExtractor featureExtractor;
featureExtractor.compute(trainImage_gray, train_keyPoint, trainDescriptor);
//创建基于FLANN的描述符匹配对象
FlannBasedMatcher matcher;
vector<Mat> train_desc_collection(1, trainDescriptor);
matcher.add(train_desc_collection);
matcher.train();
//创建视屏对象、定义帧率
VideoCapture cap(0);
unsigned int frameCount = 0;//帧数
vector<KeyPoint> test_keyPoint;
vector<vector<DMatch>> matches;
vector<DMatch> goodMatches;
//不断循环直到q键被按下
while (char(waitKey(1)) != 'q')
{
//<1>参数设置
int64 time0 = getTickCount();
Mat testImage, testImage_gray;
cap >> testImage;//采集视屏到testImage中
if (testImage.empty())
{
continue;
}
//<2>转化图像到灰度
cvtColor(testImage, testImage_gray, CV_BGR2GRAY);
//<3>检测S关键点、提取测试图像描述符
Mat testDescriptor;
featureDetector.detect(testImage_gray, test_keyPoint);
featureExtractor.compute(testImage_gray, test_keyPoint, testDescriptor);
//<4>匹配训练和测试描述符
matcher.knnMatch(testDescriptor, matches, 2);
//<5>根据劳氏算法得到优秀的匹配点
for (unsigned int i = 0; i < matches.size(); i++)
{
if (matches[i][0].distance < 0.6 * matches[i][1].distance)
goodMatches.push_back(matches[i][0]);
}
//<6>绘制匹配点并显示窗口
Mat dstImage;
drawMatches(testImage, test_keyPoint, trainImage, train_keyPoint, goodMatches, dstImage);
imshow("匹配窗口", dstImage);
cout << "当前帧率为:" << getTickFrequency() / (getTickCount() - time0) << endl;
test_keyPoint.clear();
matches.clear();
goodMatches.clear();
}
return 0;
}