Getting Started With OpenCV in C/C++ in Windows

# How to configure OpenCV for C/C++ in Windows?

Installing OpenCV is very hard task because of various things like build error and Compiler Error. So in this tutorial, I will write in brief about how can one install OpenCV for C++ in Windows machine.

## Getting Systems Ready!

• First check your system if it is 64-bit or 32-bit because we will need separate files for each.
• Download VS-Code for your system. The reason for using VS Code is because of its features. It provides extensions like C/C++, Cmake, Intellsense and it even makes our things easier as it builds our code with just single click.
• Download and install Visual Studio 2019 (not the VS Code) is also installed and during the installation, make sure to download feature Desktop Development with C++.
• Download and Install Cmake from https://cmake.org/download/. Cmake is a build tool which will work on backend to make a executable file for us. If we want to build any file without using VS code then we must use Cmake from CMD.
• Download and Install mingw (32-bit or 64-bit according to your system) from https://sourceforge.net/projects/mingw/files/Installer/, it provides us the compiler. Also remember the installation path.
• Now lets add mingw in system variable so that the path could be accessible from anywhere.
• For me the paths are just under C drive.
• C:\mingw-w64\x86_64-8.1.0-posix-seh-rt_v6-rev0\mingw64\bin
• C:\mingw-w64\x86_64-8.1.0-posix-seh-rt_v6-rev0
• If looked closely. ....\bin folder contains compiler g++, c++ and lots of other tools.
• Download and Extract OpenCV from https://sourceforge.net/projects/opencvlibrary/files/4.5.1/opencv-4.5.1-vc14_vc15.exe/download to C drive. The sole purpose of choosing C drive is because of simplicity.
• Again we have to add the build path (both lib and bin) into the system variable.
• C:\OpenCV\opencv\build\x64\vc15\lib
• C:\OpenCV\opencv\build\x64\vc15\bin
• If looked carefully inside C"OpenCV\opencv\include\opencv2 we can find lots of *.h C/C++ header files there. Which will allow us to use OpenCV.

## Configure Build Operations

• Start by making a new project on VS Code. i.e. start on new folder.

• Find a command Cmake Configure. By hitting ctrl+shift+p.

• Choose your Visual Studio version.

• A warning will be shown on bottom right, click on create.

• Give your project a name (like in this case opencv-test).

• Pick to make executable.

• Now CMakeLists.txt, main.cpp and build folder will be generated by CMake.

• On CMakeLists.txt we have to give some build information and informations about OpenCV directories.

• We have to tell that, find the required package OpenCV and include the directory too.
• Then add target_link_libraries, i.e. link the libraries to our project.
• CMakeLists.txt:

cmake_minimum_required(VERSION 3.0.0)
project(opencv-test VERSION 0.1.0)

include(CTest)
enable_testing()

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRs}) add_executable(opencv-test main.cpp) target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBS}) set(CPACK_PROJECT_NAME${PROJECT_NAME})
set(CPACK_PROJECT_VERSION \${PROJECT_VERSION})
include(CPack)
• If everything goes okay, then after saving a file, on the output console, it will be shown. If no error is shown then we can proceed.

## Create and Run first OpenCV program in C++.

• Head over to the main.cpp. Copy below and replace the codes.

#include  //handeling input/output
#include  // standard i/o?
#include  // main opencv
#include  // opencv gui
#include "opencv2/imgproc.hpp" //image processing
#include "opencv2/imgcodecs.hpp" //image codecs i.e. png, jpeg etc

using namespace cv;
using namespace std;

Mat image;

int main()
{

// get full path of any image near your directory!
string impath="F:\\Desktop\\guiconcept.png";

image = imread(impath, 1);
imshow("Image", image);

cv::waitKey(0);
return 0;

}
• Make sure to change the impath variable!

• Now press on play button on the bottom, it will take few seconds to build it then if everything is okay, it will show our image.

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