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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