手机端安装IP摄像头。
先上源码：
#include "cv.h"
#include "highgui.h"
#include <iostream>
int main(int, char**) {
cv::VideoCapture vcap;
cv::Mat image;
CvCapture *capture ;
const std::string videoStreamAddress = "http://10.133.225.11:8080/video";
if(!vcap.open(videoStreamAddress)) {
std::cout << "Error opening video stream or file" << std::endl;
return -1;
}
//Create output window for displaying frames.
//It's important to create this window outside of the `for` loop
//Otherwise this window will be created automatically each time you call
//`imshow(...)`, which is very inefficient.
cv::namedWindow("Output Window");
for(;;) {
if(!vcap.read(image)) {
std::cout << "No frame" << std::endl;
cv::waitKey();
}
cv::imshow("Output Window", image);
if(cv::waitKey(1) >= 0) break;
}
}
编译：g++ `pkg-config --cflags opencv` -o camera camera.cpp `pkg-config --libs opencv`
运行即可。
方法二：
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
int main()
{
VideoCapture cap;
Mat img;
while (true)
{
cap.open("http://10.133.225.11:8080/video");
if (cap.isOpened())
{
cap.read(img);
imshow("win", img);
if ((uchar)waitKey(1) == 27)
break;
}
else
break;
}
}
方法三：不用VIdeoCapture，用cvCapture
#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
int main()
{
Mat img;
Mat mat(480, 640, CV_8UC4);
while (true)
{
CvCapture *camera=cvCaptureFromFile("http://10.133.225.11:8080/shot.jpg");
IplImage *img=cvQueryFrame(camera);
imshow("win", Mat(img));
if ((uchar)waitKey(1) == 27)
break;
}
}
关于使用yolo调用远程摄像头的方法：
在YOLO src文件夹下，编辑demo.c,
修改代码：
cap=cvCaptureFromFile("http://10.133.225.11:8080/shot.jpg")
在fetch_in_treads函数也添加代码：
cap=cvCaptureFromFile("http://10.133.225.11:8080/shot.jpg")
即可实现YOLO远程调用摄像头。