Ubuntu22.04 VScode installation and OpenCV C++ configuration

Title: Ubuntu22.04 VScode installation and OpenCV C++ configuration

OpenCV C++ environment construction detailed pictures and texts

VScode installation

Download the installation package

• Ubuntu软件商店安装的会出现无法输入中文，所以我们选择官网的。

• Official website: Download Visual Studio Code - Mac, Linux, Windows

  

Install

• Enter the installation package directory

•   dpkg -i ./code_1.73.1-1667967334_amd64.deb
  

Configure VScode C++

plugin store

• Install Chinese plug-in

  

• Install C++ plugin

  

• Configure OpenCV

  • Create a new cpp file, import opencv, and enter the configuration interface from the error message.

  •   #include <opencv2/opencv.hpp>
      #include <opencv2/highgui.hpp>
      #include <iostream>
      
      using namespace std;
      using namespace cv;
      
      Mat src;
      
      int main(int argc, char ** argv)
      {
              src = imread("./img/QQ图片20220623232420.jpg");//这里是你的图片
              if (src.empty())
              {
      		cout << "没有读取到图像" << endl;
      		return -1;
              }
              imshow("hello", src);
              waitKey(0);
              return 0;
      }
    

  • Note: Since I have already configured it, I modified the library name in order to report an error. Please refer to the code block above for the code. The code in the picture is incorrect.

    

  • Add /usr/local/include/opencv4.

    

Running error

Report an error

• Error message: No opencv2 file or directory

• Reason: As shown in the figure, OpenCV has an extra file opencv4 folder in Ubuntu, but the source code has not been changed.

  

• Solution: Modify the tasks.json file and import all libraries during compilation.

  • Add the following code to args in tasks.json.

  •                 "-I", "/usr/local/include",
                    "-I", "/usr/local/include/opencv4",
                    "-I", "/usr/local/include/opencv4/opencv2",
                    "-L", "/usr/local/lib",
                    "-l", "opencv_aruco",
                    "-l", "opencv_bgsegm",
                    "-l", "opencv_bioinspired",
                    "-l", "opencv_calib3d",
                    "-l", "opencv_ccalib",
                    "-l", "opencv_core",
                    "-l", "opencv_datasets",
                    "-l", "opencv_dnn_objdetect",
                    "-l", "opencv_dnn",
                    "-l", "opencv_dpm",
                    "-l", "opencv_face",
                    "-l", "opencv_features2d",
                    "-l", "opencv_flann",
                    "-l", "opencv_freetype",
                    "-l", "opencv_fuzzy",
                    "-l", "opencv_hfs",
                    "-l", "opencv_highgui",                
                    "-l", "opencv_imgcodecs",
                    "-l", "opencv_img_hash",
                    "-l", "opencv_imgproc",
                    "-l", "opencv_line_descriptor",
                    "-l", "opencv_ml",
                    "-l", "opencv_objdetect",
                    "-l", "opencv_optflow",
                    "-l", "opencv_phase_unwrapping",
                    "-l", "opencv_photo",
                    "-l", "opencv_plot",
                    "-l", "opencv_reg",
                    "-l", "opencv_rgbd",
                    "-l", "opencv_saliency",
                    "-l", "opencv_shape",
                    "-l", "opencv_stereo",
                    "-l", "opencv_stitching",
                    "-l", "opencv_structured_light",
                    "-l", "opencv_superres",
                    "-l", "opencv_surface_matching",
                    "-l", "opencv_text",
                    "-l", "opencv_tracking",
                    "-l", "opencv_videoio",
                    "-l", "opencv_video",
                    "-l", "opencv_videostab",
                    "-l", "opencv_ximgproc",
                    "-l", "opencv_xphoto"
    

    

Test run through