# 39) [OPENCV] 2.기본다지기

[Mat]

#include <opencv2/opencv.hpp>


using namespace cv;
using namespace std;

int main(void) 
{
	//2행3열
	Matx<int, 2, 3> m1(			
		1, 2, 3, 
		4, 5, 6); 

	printf("%d %d %d %d %d %d\n",
		m1(0, 0), m1(0, 1), m1(0, 2),
		m1(1, 0), m1(1, 1), m1(1, 2));

	Matx23d m2(1, 2, 3, 4, 5, 6);
	printf("%d %d %d %d %d %d\n",
		m1(0, 0), m1(0, 1), m1(0, 2),
		m1(1, 0), m1(1, 1), m1(1, 2));

	// 2행 3열(CV_8U : 8bit Color)
	Mat m3(2, 3, CV_8U);
	cout << m1 << endl;
}

---

[gray, white 윈도우창 출력]

#include <opencv2/opencv.hpp>


using namespace cv;
using namespace std;

int main(void) 
{
	// 8bit, 24bit, 32color
	Mat image1(300, 400, CV_8U, Scalar(255));
	Mat image2(300, 400, CV_8U, Scalar(128));

	string title1 = "white window";
	string title2 = "gray window";
	namedWindow(title1, WINDOW_AUTOSIZE);
	namedWindow(title2, WINDOW_NORMAL);
	moveWindow(title1, 100, 200);
	moveWindow(title2, 100, 200);
	imshow(title1, image1);
	imshow(title2, image2);

	waitKey();
	destroyAllWindows();
}

---

[white 윈도우창 출력]

#include <opencv2/opencv.hpp>


using namespace cv;
using namespace std;

int main(void) 
{
	// 8bit, 24bit, 32color
	Mat image(300, 400, CV_8U, Scalar(255));
	namedWindow("white window", WINDOW_NORMAL);

	
	imshow("white window", image);

	waitKey();
	destroyAllWindows();
}

---

[waitKeyEx() 키보드처리]

#include <opencv2/opencv.hpp>


using namespace cv;
using namespace std;

int main(void) 
{
	// 8bit, 24bit, 32color
	Mat image(300, 400, CV_8U, Scalar(255));
	namedWindow("white window", WINDOW_NORMAL);

	
	imshow("white window", image);

	// delay time : 20ms
	while(1)
	{
		int key = waitKeyEx(20);
		if (key == 27) // ESC
		{
			cout << "종료" << endl;
			break;
		}
	}
	
	destroyAllWindows();
}

[waitKeyEx() 마우스처리]