OpenCV Mat实例详解 三

Bill662024-02-17 17:47

OpenCV Mat实例详解 一、二介绍了，OpenCV Mat类构造函数及其公共属性。下面继续介绍OpenCV Mat类公有静态成员函数

OpenCV Mat类公有静态成员函数（Static Public Member Functions）

static CV_NODISCARD_STD Matdiag (const Mat &d)；

该函数用已有的Mat对象的数据矩阵对角线上的数据填充新创建Mat对象数据矩阵。下面创建一个空的控制台应用程序，来演示其用法·，在程序中加入如下代码：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	Mat dst = src.diag();
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行结果如下：

OpenCV Mat类还有一个类似的公有函数，如下：

Mat diag (int d=0) const

d 左上角的位置，如果d值为 负，则为左边算起第一个方阵的右下角。修改上面的代码，来演示该函数的用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	Mat dst = src.diag(0);
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	uchar mdata[3][4] = { (1,2,3,4),(5,6,7,8),(9,10,11,12) };
	Mat src = Mat(3, 4, CV_8UC3, mdata);
	Mat dst = src.diag(0);
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	Mat dst = src.diag(1);
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	Mat dst = src.diag(2);
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

试运行，结果如下：

修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	Mat dst = src.diag(-2);
	cout << src << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

static CV_NODISCARD_STD MatExpr eye (int rows, int cols, int type)；

返回一个对角元素为1，其余元素为0的Mat对象

rows 返回Mat对象的rows

cols 返回Mat对象的cols

type 返回Mat对象的type

修改上面示例代码，来演示该函数的用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	Mat src;
	Mat dst = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	Mat src;
	Mat dst = src.eye(3, 3, CV_8UC1);
	src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

再修改上面示例代码，修改后如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	Mat src;
	Mat dst = src.eye(3, 3, CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

可以看出，该函数不会改变原有Mat对象。

static CV_NODISCARD_STD MatExpr eye (Size size, int type)；

该函数与上一个函数作用一样，仅是用Size代替了cols，与rows。

修改上面的示例代码，来演示其用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

从结果可以看出，返回Mat对象数据矩阵如果不是方矩阵，只有左上角为第一个元素的方矩阵对角线上的元素被填充为1，其余元素为0.

static MatAllocator * getDefaultAllocator ()；

修改上面的示例代码，来演示其用法，修改后的代码如下：

	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	MatAllocator* pMem = src.getDefaultAllocator();
	if (pMem)
	{
		cout << "Defaultallocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	waitKey(0);
	return 0;
}

试运行，结果如下：

static MatAllocator * getStdAllocator ()；

修改上面的示例代码，来演示其用法，修改后的代码如下：

	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	waitKey(0);
	return 0;
}

试运行，结果如下：

static CV_NODISCARD_STD MatExpr ones (int rows, int cols, int type)；

返回一个数据矩阵被填充为1的Mat对象

rows 返回Mat对象的rows

cols 返回Mat对象的cols

type 返回Mat对象的type

修改上面的示例代码，来演示其用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/
	Mat src;
	src = src.ones(3, 5, CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;

	waitKey(0);
	return 0;
}

试运行，结果如下：

static CV_NODISCARD_STD MatExpr ones (Size size, int type)；

这个函数与上一个函数作用相同，Size中包含了rows、cols。

修改上面的示例代码，来演示其用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(Size(3,5), CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;

	waitKey(0);
	return 0;
}

试运行，结果如下：

注意Size的两个参数与cols，rows的对应关系。

static CV_NODISCARD_STD MatExpr ones (int ndims, const int *sz, int type)；

返回一个数据矩阵被填充为1的Mat对象

ndims 返回Mat对象的维度，1,2有效

*sz 含有返回Mat对象cows，rols数据的int数组

type 返回Mat对象的type

修改上面的示例代码，来演示其用法，修改后的代码如下：

	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(2, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;

	waitKey(0);
	return 0;
}

试运行，结果如下：

修改上面的示例代码，将ndims的值修改为1，修改后的代码如下：

	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(1, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;

	waitKey(0);
	return 0;
}

试运行，结果如下：

static void setDefaultAllocator (MatAllocator *allocator)；

修改上面的示例代码，来演示其用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/

	/*
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(1, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	*/

	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	src.resize(src.rows / 2, src.cols / 2);
	MatAllocator* pMem = src.getDefaultAllocator();
	Mat dst = Mat(src.rows, src.cols, src.type());
	dst.setDefaultAllocator(pMem);
	dst.data = src.data;
	imshow("dst", dst);
	waitKey(0);
	return 0;
}

试运行，结果如下：

static CV_NODISCARD_STD MatExpr zeros (int rows, int cols, int type)；

static CV_NODISCARD_STD MatExpr zeros (Size size, int type)；

static CV_NODISCARD_STD MatExpr zeros (int ndims, const int *sz, int type)；

返回数据矩阵被填充为0的Mat对象

row 返回Mat对象的rows

cols 返回Mat对象的cols

type 返回Mat对象的type

ndims 返回Mat对象的维度，1,2有效。

sz 含有返回Mat对象cols，rows数值的int数组

修改上面的示例代码，来演示这几个函数用法，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/

	/*
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(1, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	src.resize(src.rows / 2, src.cols / 2);
	MatAllocator* pMem = src.getDefaultAllocator();
	Mat dst = Mat(src.rows, src.cols, src.type());
	dst.setDefaultAllocator(pMem);
	dst.data = src.data;
	imshow("dst", dst);
	*/

	Mat src;
	src = src.zeros(3, 4, CV_8UC1);
	cout << "src cols:  " << src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

再修改上面的示例代码，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/

	/*
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(1, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	src.resize(src.rows / 2, src.cols / 2);
	MatAllocator* pMem = src.getDefaultAllocator();
	Mat dst = Mat(src.rows, src.cols, src.type());
	dst.setDefaultAllocator(pMem);
	dst.data = src.data;
	imshow("dst", dst);
	*/

	Mat src;
	//src = src.zeros(3, 4, CV_8UC1);
	src = src.zeros(Size(4,3), CV_8UC1);
	cout << "src cols:  " << src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

再修改上面的示例代码，修改后的代码如下：

// OpenCVMatTest3.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

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

using namespace cv;
using namespace std;

int main()
{
	
	//Mat src = (Mat_<uchar>(3, 3 ) << 1, 0, 0,  0, 1, 0,  0, 0, 1);
	//Mat dst = src.diag();
	//Mat dst = src.diag(0);

	//uchar mdata[3][4] = {1,2,3,4,5,6,7,8,9,10,11,12};
	//Mat src = Mat(3, 4, CV_8UC1, mdata);
	//Mat dst = src.diag(0);
	//Mat dst = src.diag(1);
	//Mat dst = src.diag(2);
	//Mat dst = src.diag(-1);
	/*
	Mat src;
	Mat dst = src.eye(Size(3,4), CV_8UC1);
	//src = src.eye(3, 3, CV_8UC1);
	cout << "dst cols: " << dst.cols << endl;
	cout << "dst rows: " << dst.rows << endl;
	cout << "dst tpye: " << dst.type() << endl;
	cout << "src:" << endl;
	cout << src << endl;
	cout << "dst:" << endl;
	cout << dst << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	//MatAllocator* pMem = src.getDefaultAllocator();
	MatAllocator* pMem = src.getStdAllocator();
	if (pMem)
	{
		cout << "StdAllocator Address:  " << (unsigned int)pMem << endl;
	}
	else
	{
		cout << "pMem is null" << endl;
	}
	imshow("", src);
	*/

	/*
	int mdat[] = {3,4};
	Mat src;
	//src = src.ones(3, 5, CV_8UC1);
	src = src.ones(1, mdat,CV_8UC1);
	cout << "src cols:  "<< src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	*/

	/*
	Mat src = imread("1.jpg");
	if (src.empty())
	{
		cout << "Conn't read image!" << endl;
		return -1;
	}
	src.resize(src.rows / 2, src.cols / 2);
	MatAllocator* pMem = src.getDefaultAllocator();
	Mat dst = Mat(src.rows, src.cols, src.type());
	dst.setDefaultAllocator(pMem);
	dst.data = src.data;
	imshow("dst", dst);
	*/
	int  mdat[] = {3,5 };
	Mat src;
	//src = src.zeros(3, 4, CV_8UC1);
	//src = src.zeros(Size(4,3), CV_8UC1);
	src = src.zeros(2, mdat,CV_8UC1);
	cout << "src cols:  " << src.cols << endl;
	cout << "src rows:  " << src.rows << endl;
	cout << "src type:  " << src.type() << endl;
	cout << src << endl;
	waitKey(0);
	return 0;
}

试运行，结果如下：

到这里，OpenCV Mat类的静态公有成员函数就介绍完了。

示例是基于OpenCV4.8（opencv目录位于d盘根目录下）及VS2022。示例源代码，已上传到CSDN，链接为：https://download.csdn.net/download/billliu66/88836976

相关推荐
这个男人是小帅27 分钟前
【GAT】 代码详解 (1) 运行方法【pytorch】可运行版本
人工智能·pytorch·python·深度学习·分类
__基本操作__29 分钟前
边缘提取函数 [OPENCV--2]
人工智能·opencv·计算机视觉
这是一个图像32 分钟前
从opencv-python入门opencv--图像处理之图像滤波
图像处理·opencv·计算机视觉·中值滤波·高斯滤波·双边滤波·图像滤波
Doctor老王34 分钟前
TR3：Pytorch复现Transformer
人工智能·pytorch·transformer
热爱生活的五柒34 分钟前
pytorch中数据和模型都要部署在cuda上面
人工智能·pytorch·深度学习
HyperAI超神经3 小时前
【TVM 教程】使用 Tensorize 来利用硬件内联函数
人工智能·深度学习·自然语言处理·tvm·计算机技术·编程开发·编译框架
扫地的小何尚4 小时前
NVIDIA RTX 系统上使用 llama.cpp 加速 LLM
人工智能·aigc·llama·gpu·nvidia·cuda·英伟达
埃菲尔铁塔_CV算法7 小时前
深度学习神经网络创新点方向
人工智能·深度学习·神经网络
艾思科蓝-何老师【H8053】7 小时前
【ACM出版】第四届信号处理与通信技术国际学术会议（SPCT 2024）
人工智能·信号处理·论文发表·香港中文大学
weixin_452600697 小时前
《青牛科技 GC6125：驱动芯片中的璀璨之星，点亮 IPcamera 和云台控制（替代 BU24025/ROHM）》
人工智能·科技·单片机·嵌入式硬件·新能源充电桩·智能充电枪
热门推荐
01玄机平台应急响应—webshell查杀02Ubuntu 20.04使用Livox mid 360 测试 FAST_LIO03【HarmonyOS】HUAWEI DevEco Studio 下载地址汇总04新版微信小程序获取用户手机号05文件或文件夹名称中有空格如何批量去除06组基轨迹建模 GBTM的介绍与实现（Stata 或 R）07【TC3xx芯片】TC3xx芯片电源管理系统PMS详解08优化手机性能，解决卡顿问题：关闭这3个微信开关，释放内存空间09基于YOLOv10深度学习的CT扫描图像肾结石智能检测系统【python源码+Pyqt5界面+数据集+训练代码】深度学习实战、目标检测10【Flutter】基于 GetX 实现 Dio 的生命周期自动化