OpenCV4 daily practice day7: video loading, camera call, video file saving

Insert picture description here

1. Video loading (reading)/camera call uses the same function: VideoCapture()

Insert picture description here
Use the get function, such as video.get(CAP_PROP_FOURCC)
Insert picture description here
video real-time display and playback: video>>Mat

2. Video file save

Insert picture description here

3. Example: video reading and playback

Insert picture description here
Operation result: (GIF animation)
Insert picture description here
Attach example code:

#include<opencv2\opencv.hpp>
#include<iostream>

using namespace std;
using namespace cv;

int main()
{
    
    
	VideoCapture video;
	video.open("D:/opencv/风筝冲浪.mp4");
	if (!video.isOpened())
	{
    
    
		cout << "请检查视频文件" << endl;
		return -1;
	}
	cout <<"视频帧率=" << video.get(CAP_PROP_FPS) << endl;
	cout <<"视频宽度=" << video.get(CAP_PROP_FRAME_WIDTH) << endl;
	while (1)
	{
    
    
		Mat frame;
		video >> frame;
		if (frame.empty())
		{
    
    
			break;
		}
		imshow("video",frame);
		uchar c = waitKey(1000 / video.get(CAP_PROP_FPS));//视频播放速度
		
		if (c == 'q')
		{
    
    
			break; //按q键退出程序
		}
	}
	return 0;
}

4. Example: camera call

Just change the path in the above example code to camera number: 0
Insert picture description here
Run result: (GIF animation)
Insert picture description here

5. Example: Save the image read by the camera or the processed video as a file again

Code:

#include<opencv2\opencv.hpp>
#include<iostream>

using namespace std;
using namespace cv;

int main()
{
    
    
	Mat img;
	VideoCapture video(0);//使用某个摄像头
	//读取视频
	//VideoCapture video;
	//video.open("D:/opencv/风筝冲浪.mp4")
	if (!video.isOpened())//判断是否调用成功
	{
    
    
		cout << "打开摄像头失败,请确认摄像头是否安装成功";
		return -1;
	}
	video >> img;//获取图像
	//检测是否成功获取图像
	if (img.empty())//判断读取图像是否成功
	{
    
    
		cout << "没有获取到图像" << endl;
		return -1;
	}
	bool isColor = {
    
    img.type() == CV_8UC3 };//判断相机(视频)类型是否为彩色
	VideoWriter writer;//定义写入视频的一个对象
	int codec = VideoWriter::fourcc('M','J','P','G');//选择编码格式
	//OpenCV 4.0版设置编码格式
	//int codec=CV_FOURCC('M','J','P','G');
	double fps = 25.0;//设置视频帧率
	string filename = "newCamera.avi";//保存的视频文件名称
	writer.open(filename, codec, fps, img.size(), isColor);//创建保存视频文件的视频流
	if (!writer.isOpened())//判断视频流是否创建成功
	{
    
    
		cout << "打开视频文件失败,请确认是否为合法输入" << endl;
		return -1;
	}
	while (1)
	{
    
    
		//检测是否执行完毕
		if (!video.read(img))//判断能否继续从摄像头或者视频文件中读出一帧图像
		{
    
    
			cout << "摄像头断开连接或者视频读取完成" << endl;
			break;
		}
		writer.write(img);//把图像写入视频流
						  //writer<<img;
		imshow("newCamera",img);//显示图像	
		char c = waitKey(50);
		if (c == 27)//按”Esc“键退出视频保存
		{
    
    
			break;
		}
	}
	//退出程序时自动关闭视频流
	//video.release();
	//writer.release();
	return 0;
}

Running result: (GIF animation)
Insert picture description here
Video file saved to: newCamera.avi
Insert picture description here

Guess you like

Origin blog.csdn.net/weixin_43297891/article/details/114484420