Clion+opencv+aruco+cmake configuration

First, list the software configuration used in this article ：

• clion 2020.0.1 ( No money
• opencv 4.5.2
• aruco3.10, Don't download the latest version , Some function names have changed
• cmake 3.24
• win10
  

One 、 To configure opencv

opencv I'm not as good and detailed as this person , So you can read his article directly .
https://blog.csdn.net/bby1987/article/details/108985356
But one thing is worth noting , His CMakeList There's something wrong with the writing , One quotation mark is missing , This will result in failure to compile , I will release two packages later CMakeList.

Two 、aruco compile

Download link ：https://sourceforge.net/projects/aruco/files/、
Configuration and opencv The same as , download , use cmake compile , And then use mingw Generate , See... For details opencv Documents

mingw32-make
 or 
mingw32-make -j8
// compile 

mingw32-make install
// copy to install, Easy to use 

There is no need to configure aruco Environment variables of , Just use it

3、 ... and 、CMakeList

cmake_minimum_required(VERSION 3.16)# The version is greater than 3.16
project(arucotest)# Create project , My project is arucotest, You can change it to your own project name at that time 
set(CMAKE_CXX_STANDARD 20)# Set up Cpp edition 

set(OpenCV_DIR "D:\\opencv isn\\opencv-4.5.2\\build_mingw64\\install")#opencv The address of the library 

# seek opencv Kuhe aruco library 
find_package(OpenCV REQUIRED)
find_package(aruco REQUIRED )

# Include and link opencvlib
include_directories(${OpenCV_INCLUDE_DIRS})
set(OpenCV_LIBS opencv_core opencv_imgproc opencv_highgui opencv_imgcodecs)
# This line is 
add_executable(arucotest main.cpp)

# link arucolib
target_link_libraries(arucotest ${OpenCV_LIBS} ${aruco_LIBS})

This CMakeList I have practiced , Run through code , The test code is as follows

#include <iostream>
#include "aruco.h"
#include<opencv2/opencv.hpp>
using namespace std;
using namespace cv;
int main(){
    
    string imagePath = "D:\\Pictures\\1.JPG";// Be careful , Inside imagepath Change to your picture address 
    Mat image = imread(imagePath);
    resize(image, image, Size(1024, 1024));
    namedWindow("TestOpenCV", 0);
    imshow("TestOpenCV", image);
    waitKey(0);
    destroyAllWindows();
    return 0;
    
}

PS： If someone wants to learn cmake, My suggestion is to watch this video and GitHub, After reading it for an hour, you can probably write it yourself cmake 了
https://www.bilibili.com/video/BV14h41187FZ?spm_id_from=333.1007.top_right_bar_window_history.content.click&vd_source=1ef56da7b9f25f108ff0dc3ccaf38102