OpenCV environment configuration
Baidu Baike:
OpenCV is a cross-platform computer vision and machine learning software library distributed under the BSD license (open source) that runs on Linux, Windows, Android, and Mac OS operating systems. It is lightweight and efficient — it consists of a series of C functions and a small number of C++ classes. It also provides interfaces to Python, Ruby, MATLAB and other languages and implements many common algorithms in image processing and computer vision.
OpenCV is written in C++, it has C++, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS, OpenCV mainly tends to real-time visual applications, and utilizes MMX and SSE instructions when available, Support for C#, Ch, Ruby, and GO is also available.
Software development Networking Group
QQ group: 686809487
Website:opencv.org/
Version: OpenCV – 4.5.1
Development tools: Microsoft Visual Studio Community 2019
Environment configuration
New project
Selected Release | x64 right-click select Properties set Properties
The Include Directories set
Path:
opencv\build\include\opencv2
opencv\build\include
The Library Directories set
Path:
opencv\build\x64\vc15\lib
Linker -> Input -> Additional Dependencies set
The preview image
#include <iostream> #include <opencv2/opencv.hpp> #include "QuickDemo.h" using namespace cv; Int main () {/ / read the file Mat SRC = imread (" C: / / opencv/project/project/C opencv_01 / images/persons. The PNG ", IMREAD_UNCHANGED); if (src.empty()) { return -1; } namedWindow("input", WINDOW_AUTOSIZE); imshow("input", src); waitKey(0); destroyAllWindows(); return 0; }Copy the code
Follow wechat public number, he Xiao background reply OpenCV to obtain the relevant code