Videocaputer 对于视频的处理

最新推荐文章于 2024-09-12 10:41:40 发布

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最新推荐文章于 2024-09-12 10:41:40 发布

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#include <opencv2/core/core.hpp>

#include <opencv2/highgui/highgui.hpp>

#include <opencv2/imgproc/imgproc.hpp>

#include <iostream>

using namespace std;

using namespace cv;

int main()

{

// 定义相关VideoCapture对象

VideoCapture capture;

// 读取视频文件

capture.open("..\\images\\car.avi");

// 判断视频流读取是否正确

if(!capture.isOpened())

{

std::cout << "fail to open video!" << std::endl;

return -1;

}

// 获取视频相关信息-帧数

long nTotalFrame = capture.get(CV_CAP_PROP_FRAME_COUNT);

std:: cout << "nTotalFrame = " << nTotalFrame << std::endl;

// 获取视频相关信息-帧像素宽高

int frameHeight= capture.get(CV_CAP_PROP_FRAME_HEIGHT);

int frameWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH);

std::cout << "frameHeight = " << frameHeight << std::endl;

std::cout << "frameWidth = " << frameWidth << std::endl;

// 获取视频相关信息-帧率

double FrameRate = capture.get(CV_CAP_PROP_FPS);

std::cout<< "FrameRate = " << FrameRate << std::endl;

cv::Mat frameImg;

// read方法获取显示帧

long nCount = 1;

while (true)

{

std::cout << " Current frame: " << nCount << std::endl;

capture >> frameImg;

// 判断当前读取文件

if (!frameImg.empty())

{

imshow("frameImg", frameImg);

}else

{

break;

}

// 按下键盘上q键退出

if (char(waitKey(1)) == 'q')

{

break;

}

nCount++;

}

// 视频释放

capture.release();

return 0;

}