8. 영상을 Canny Edge Detection 후 저장하기 / 영상 정보 출력하기

결과값

코드

#include "opencv2/opencv.hpp"  

#include <iostream>  

using namespace cv;

using namespace std;

int main(){

VideoCapture capture("image/Wildlife.wmv");

int fps = capture.get(CAP_PROP_FPS);

int ex = static_cast<int>(capture.get(CV_CAP_PROP_FOURCC));

char EXT[] = {

(char)(ex & 0XFF),

(char)((ex & 0XFF00) >> 8),

(char)((ex & 0XFF0000) >> 16),

(char)((ex & 0XFF000000) >> 24),

0

};

int hei = capture.get(CAP_PROP_FRAME_HEIGHT);

int wid = capture.get(CAP_PROP_FRAME_WIDTH);

printf("fourcc = %s \n", EXT);

printf("size = [%d x %d]\n", wid, hei);

printf("fps = %d\n", fps);

Mat frame;

Mat frameCanny;

//namedWindow("input", 1);

Size size = Size((int)capture.get(CAP_PROP_FRAME_WIDTH),

(int)capture.get(CAP_PROP_FRAME_HEIGHT));

VideoWriter outputVideo;

outputVideo.open("ouput.avi", CV_FOURCC('D', 'I', 'B', ' '), fps, size, true);

if (!outputVideo.isOpened())

{

cout << "동영상을 저장하기 위한 초기화 작업 중 에러 발생" << endl;

return 1;

}

while (1)

{

capture >> frame;

if (!frame.empty()) {

Canny(frame, frameCanny, 80, 150, 3);

imshow("video", frame);

imshow("Canny", frameCanny);

outputVideo << frameCanny;

outputVideo.write(frameCanny);

if (waitKey(30) == 'q') break;

}

}

return 0;

}