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服务器之家 - 编程语言 - C/C++ - 如何基于C++解决RTSP取流报错问题

如何基于C++解决RTSP取流报错问题

2021-09-23 13:42wangaolin C/C++

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

如何基于C++解决RTSP取流报错问题

这是我的代码:

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#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服务器之家。

原文链接:https://www.cnblogs.com/wal1317-59/p/13440908.html

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