c_cpp OpenCV基本数据结构Mat

Posted 2021-05-14

#include <opencv/opencv2.hpp>
using namespace std;

int main()
{
	Rect rect = rect1 & rect2; // 并集
	Rect rect = rect1 | rect2; // 交集
	Rect rect = rect + point; // 平移
	Rect rect = rect + size; // 缩放
	rect.Size(); // 返回值 Size
	rect.area(); // 返回矩阵面积
	rect.contains(Point); // 返回是否包含点
	rect.inside(Rect); // 返回是否处于Rect中
	rect.tl(); //返回左上角的点
	rect.br(); //返回右上角的点
	return 0;
}

#include <opencv2/opencv.hpp>
using namespace cv;

int main()
{
	Mat A, C; // 仅创建信息头
	A = imread("1.jpg", 1);
	Mat B(A); // copy constructor
	C = A; // assignment op
	
	Mat D(A, Rect(10, 10, 100, 100)); // 仅新建信息头和指针，共享一个矩阵数据
	Mat E = A(Range:all(), Range(1,3)); // 用行和列来定义
	
	Mat F = A.clone(); // 新建一个矩阵数据，复制信息头
	Mat G;
	A.copyTo(G); // 新建一个矩阵数据，复制信息头
	
	Mat M(2, 2, CV_8UC3, Scalar(0, 0, 255));
	
	M.create(4, 4, CV_8UC3);
	
	Mat E = Mat::eye(4, 4, CV_64F);
	
	Mat O = Mat::ones(2, 2, CV_32F);
	
	Mat Z = Mat::zeros(3, 3, CV_8UC1);
	
	Mat C = (Mat_<double>(3, 3) << 0, -1, 0, -1, 6, -1, 0, 0, 0);
	
	cout << format(C, "python") << ";" << endl; // "python" 可以换成csv, numpy, C
	
	return 0;
}

#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;

string type2str(int type) {
	string r;
	
	uchar depth = type & CV_MAT_DEPTH_MASK;
	uchar chans = 1 + (type >> CV_CN_SHIFT);
	
	switch (depth) {
		case CV_8U: r = "8U"; break;
		case CV_8S: r = "8S"; break;
		case CV_16U: r = "16U"; break;
		case CV_16S: r = "16S"; break;
		case CV_32S: r = "32S"; break;
		case CV_32F: r = "32F"; break;
		case CV_64F: r = "64F"; break;
		default: r = "User"; break;
	}
	
	r += "C";
	r += (chans + '0');
	
	return r;
}

int main(int argc, char *argv[])
{
	Mat srcImage = imread("1.jpg", 100);
	cout << type2str(srcImage.type()) << endl;
	return 0;
}

#define CV_CN_MAX 512
#define CV_CN_SHIFT 3
#define CV_DEPTH_MAX (1 << CV_CN_SHIFT)

#define CV_8U 0
#define CV_8S 1
#define CV_16U 2
#define CV_16S 3
#define CV_32S 4
#define CV_32F 5
#define CV_64F 6
#define CV_USRTYPE1 7

#define CV_MAT_DEPTH_MASK (CV_DEPTH_MAX - 1)
#define CV_MAT_DEPTH(flags) ((flags) & CV_MAT_DEPTH_MASK)

#define CV_MAKETYPE(depth,cn) (CV_MAT_DEPTH(depth) + (((cn)-1) << CV_CN_SHIFT))
#define CV_MAKE_TYPE CV_MAKETYPE

#define CV_8UC1 CV_MAKETYPE(CV_8U,1)
#define CV_8UC2 CV_MAKETYPE(CV_8U,2)
#define CV_8UC3 CV_MAKETYPE(CV_8U,3)
#define CV_8UC4 CV_MAKETYPE(CV_8U,4)
#define CV_8UC(n) CV_MAKETYPE(CV_8U,(n))
// 剩余的 CV_8SC(n) CV_16UC(n) CV_16SC(n) 等等的定义方式与 CV_8UC(n) 是相同的