opencv处理视频流和视频流存为图片序列

    //main.cpp
    //处理视频流
    #include <iostream>
    #include <vector> 
    #include <string> 
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include <opencv2/imgproc/imgproc.hpp>
    using namespace std;   
    using namespace cv; 
    int main(){
    cv::VideoCapture cap;
    cap.open("test.mp4");
    //检测是否正常打开:成功打开时，isOpened返回ture
    if(!cap.isOpened())
    cout<<"fail to open!"<<endl;
    long totalFrameNumber = cap.get(CV_CAP_PROP_FRAME_COUNT);
    //获取整个帧数
    cv::Mat frame;
    cout<<"整个视频共"<<totalFrameNumber<<"帧"<<endl;
    while(1) 
    { 

        cap>>frame; 
        if(frame.empty()) break;
        //cv::imshow("当前视频",frame); 
        //write your own code here
        cv::imshow("frame",frame);
        if(cv::waitKey(30) >=0) 
            break;
        }
        return 0;
}

//main.cpp
//视频流存为图片序列
#include <iostream>
#include <vector> 
#include <string> 
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace std;   
using namespace cv; 

void video2image(string video,string path)    
{    
    VideoCapture capture(video);   
    long totalFrameNumber = capture.get(CV_CAP_PROP_FRAME_COUNT);    
    cout << "total frames is:" << totalFrameNumber << "." << endl;  
    //设置开始帧    
    long frameToStart = 1;    
    capture.set(CV_CAP_PROP_POS_FRAMES, frameToStart);    
    cout << "from" <<frameToStart << "read" << endl;      
    //设置结束帧    
    int frameToStop = totalFrameNumber;    

    //获取帧率    
    double rate = capture.get(CV_CAP_PROP_FPS);    
    cout << "rate is:" << rate<< endl;    
    double delay = 1000 / rate;   
    //定义一个用来控制读取视频循环结束的变量    
    bool stop = false;    
    long currentFrame = frameToStart;    

    if(!capture.isOpened())    
    {    
        cerr<<"Failed to open a video"<<endl;    
        return ;    
    }    

    Mat frame;    
    int num=1;    
    string filename;    
    char   temp_file[10];    

    while (!stop)     
    {    
        capture>>frame;    
        if(frame.empty())    
            break;    
        sprintf(temp_file, "%d", num);    
        filename = temp_file;    
        filename = path+filename+".jpg";   
        cout <<filename<<endl;   

        cout << "now is reading" << currentFrame << "." << endl;    
        imshow("Extractedframe",frame);    

        cout << "now is writing" << currentFrame << "." << endl;     
        imwrite(filename,frame);    

         int c = waitKey(delay);    
        //按下ESC或者到达指定的结束帧后退出读取视频    
        if ((char)c == 27 ||currentFrame > frameToStop)    
        {    
            stop = true;    
        }    
        //按下按键后会停留在当前帧，等待下一次按键    
        if (c >= 0)    
        {    
            waitKey(0);    
        }    

        num++;    
        currentFrame++;  
    }    
    capture.release();    
    waitKey(0);    
} 

int main() {

    string videoFromfile = "test.mp4";  //读取视频    
       string Imagespath    = "/home/yolo_slam/yolo_wrap/test/img/";    // 保存图片的文件夹路径一定要有，因为OpenCV不会自动创建文件夹    
       video2image(videoFromfile,Imagespath);   
    return 0;
}

编译命令：

/usr/bin/g++-5 main.cpp -std=c++11 -I/usr/local/include/opencv -I/usr/local/include  -L/usr/local/lib  -lopencv_stitching -lopencv_objdetect -lopencv_superres -lopencv_videostab -lopencv_calib3d -lopencv_features2d -lopencv_highgui  -lopencv_photo -lopencv_ml -lopencv_imgproc -lopencv_flann -lopencv_core -ldl  -Wl,-rpath,. -o test

执行：

./test