如何基于C++解决RTSP取流报错问题
作者:wangaolin
这篇文章主要介绍了如何基于C++解决RTSP取流报错问题,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
使用g++ opencv_demo.cpp -o test 会报以下错误

这是我的代码:
#include <string>
#include <iostream>
#include <time.h>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/core.hpp>
#include <opencv2/videoio/videoio.hpp>
#include <opencv2/imgproc/imgproc_c.h>
//#pragma comment(lib, "")
using namespace std;
using namespace cv;
void Video_to_Image(Mat& frame);
int main()
{
//string filename = "Wildlife.wmv";
string filename = "rtsp://admin:abc.1234@10.12.18.131:554";
Mat frame;
VideoCapture cap;
cap.open(filename);
if (!cap.isOpened()) {
cerr << "ERROR! Unable to open camera\n";
return -1;
}
//--- GRAB AND WRITE LOOP
cout << "Start grabbing" << endl
<< "Press any key to terminate" << endl;
time_t start_time = time(NULL);
for (;;)
{
// wait for a new frame from camera and store it into 'frame'
cap.read(frame);
// check if we succeeded
if (frame.empty()) {
cerr << "ERROR! blank frame grabbed\n";
break;
}
// show live and wait for a key with timeout long enough to show images
imshow("Live", frame);
// 每隔2s保存图片
time_t end_time = time(NULL);
if ((end_time - start_time) >=2)
{
cout << "2s capture" << endl;
Video_to_Image(frame);
start_time = time(NULL);
}
if (waitKey(5) >= 0)
break;
}
cap.release();
return 0;
}
void Video_to_Image(Mat& frame)
{
char image_name[PATH_MAX];
sprintf(image_name, "%s%s", "test_image", ".jpg");
imwrite(image_name, frame);
}
解决方案:
g++ `pkg-config opencv --cflags` opencv_demo.cpp -o test `pkg-config opencv --libs`
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。
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