Preface
Study notes, learn OpenCV, from simple to deep.
Background introduction
OpenCV is a cross-platform computer vision and machine learning software library released under the Apache2.0 license (open source) and can run on Linux , Windows , Android and Mac OS operating systems. [1] It is lightweight and efficient - it consists of a series of C functions and a small number of C++ classes. It also provides interfaces in Python, Ruby, MATLAB and other languages, and implements many common algorithms in image processing and computer vision.
Installation and environment configuration
Reference blog VisualStudio2019 configuration OpenCV4.1.0_Rustone's blog-CSDN blog
Code and description
#include<iostream>
#include<opencv2/opencv.hpp>
using namespace std;
using namespace cv;
int main()
{
//创建窗口 重置窗口大小
namedWindow("WindowName", WINDOW_NORMAL);
resizeWindow("WindowName", 500, 312);
//imshow("WindowName", 0); //显示窗口 空白
//读取图片 ,可将此图片显示到上面窗口里
Mat srcImg = imread("C:/Users/yxp/Desktop/747196.png");
if (srcImg.empty()) {
cout << "could not load image..." << endl;
return -1;
}
imshow("WindowName", srcImg);
//保存图片
imwrite("./out.png", srcImg);
//显示灰度图片
Mat Gray;
cvtColor(srcImg, Gray, ColorConversionCodes::COLOR_BGR2GRAY);
namedWindow("Gray", WINDOW_NORMAL);
resizeWindow("Gray", 500, 312);
imshow("Gray", Gray);
//键盘 q键 销毁界面
int key=waitKey(0);
if(key=='q')
destroyAllWindows();
return 0;
}
renderings
Conclusion
Today is a day to say Hi to OpenCV!