[人工智能][OpenCV3]将视频进行处理并且在同一窗口展示C++

openCV3书中练习题8-1个人解答

#include<opencv.hpp>
#include<highgui/highgui.hpp>

using namespace cv;

int main()
{
	//8-1 1（1）从视频中读取图像帧（2）将结果转化为灰度图像（3）对该图像完成边沿检测
             //a.在同一窗口显示单个步骤的结果
			
	namedWindow("dog", CV_WINDOW_AUTOSIZE);

	VideoCapture cap;
	cap.open("C:/Users/limimi/Desktop/learning/OpenCV/Learning-OpenCV-3_examples-master/dog.mp4");

	Mat img, Gra1,Gra, Cay;

	if (cap.isOpened())
	{
		//获取原视频的高度和宽度
		int tmpw = (int)cap.get(cv::CAP_PROP_FRAME_WIDTH);//cols
		int tmph = (int)cap.get(cv::CAP_PROP_FRAME_HEIGHT);//rows
	
		//创建一个图像，大小是原视频帧的三倍
		Mat Three2one(tmph,tmpw*3,CV_8UC3);

		while(1)
		{ 
			cap.read(img);
			cvtColor(img, Gra1,COLOR_RGB2GRAY);
			cvtColor(Gra1,Gra,COLOR_GRAY2BGR);//把单通道的灰度图还原为三通道，不这样做在拷贝的时候会遇到问题
			Canny(Gra,Cay,40,60);//边缘检测得到的图像也是单通道的
			cvtColor(Cay,Cay, COLOR_GRAY2BGR);
			resize(Gra,Gra,Size(tmpw,tmph));

			img.copyTo(Three2one(Rect(0, 0, tmpw, tmph)));
			Gra.copyTo(Three2one(Rect(tmpw, 0, tmpw, tmph)));
			Cay.copyTo(Three2one(Rect(tmpw * 2, 0, tmpw, tmph)));

			imshow("dog",Three2one);

			waitKey(100);
		}
	}
	else
	{
		std::cout << "打开文件失败" << std::endl;
	}

	return 0;
}