Ubuntu22.04 installs opencv4 and configures VsCode

1. Install Opencv

Step 1: Download opencv

Download address: https://github.com/opencv/opencv

Step 2: Unzip and install

unzip opencv-4.6.0zip

 Step 3: Install compiled files

sudo apt-get install cmake

sudo apt-get install build-essential

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

Step 4: Start compiling

# Create build directory
mkdir -p build && cd build
# Configure
cmake  ../opencv-4.x
# Build
cmake --build .

Step 5: Installation

sudo make install

Default installation address: /user/local/lib

Step 6: Configure environment variables

sudo gedit /etc/ld.so.conf

Add a line to the file

 then:

sudo ldconfig

Modify the bash.bashrc file
command line:

sudo gedit /etc/bash.bashrc

Add at the end of the file

PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH

Effective:

source /etc/bash.bashrc

test:

pkg-config opencv –modversion

It seems that every time an error is reported, the version number should appear.

Use the following official procedures:

 Open in Terminal under this installation package

cd samples
cd cpp
cd example_cmake
cmake .
make
./opencv_example

 

 Test success!

2. Configure VSCODE below

Step 1: Create a new CV2 folder on the desktop

Step 2: Open it in VSCODE and create a new test program

Code:

#include<opencv2/opencv.hpp>
using namespace cv;
int main()
{
    
    Mat srcImage=imread("1.jpg");
    imshow("Origin",srcImage);
    waitKey(0);
    return 0;
}

 Find a random picture, name it 1.jpg and put it in the CV2 folder.

Step 3: Start configuring launch.json

 Select the first one and modify it according to the following procedure, or you can copy it directly:

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(gdb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${workspaceRoot}/${fileBasenameNoExtension}.main.out",
            "args": [],
            "stopAtEntry": false,
            "cwd": "${workspaceRoot}",
            "environment": [],
            "externalConsole": true,
            "MIMode": "gdb",
            "setupCommands": [
                {
                    "description": "Enable pretty-printing for gdb",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                }
            ],
            "preLaunchTask": "build"
        }
    ]
}

Step 4: Start configuring tasks.json

Press F5 to run the program just now

 

Copy the program below:

{
    // See https://go.microsoft.com/fwlink/?LinkId=733558
    // for the documentation about the tasks.json format
    "version": "2.0.0",
    "tasks": [
        {
            "label": "build",
            "type": "shell",
            "command": "g++",
            "args": [
                "-g",
                "-std=c++11",
                "${file}",
                "-o",
                "${fileBasenameNoExtension}.main.out",
			        "-I", "/usr/local/include",
			        "-I", "/usr/local/include/opencv4",
                    "-I", "/usr/local/include/opencv4/opencv2",
			        "-L", "/usr/local/lib",
			        "-l", "opencv_core",
			        "-l", "opencv_imgproc",
			        "-l", "opencv_imgcodecs",
			        "-l", "opencv_video",
			        "-l", "opencv_ml",
			        "-l", "opencv_highgui",
			        "-l", "opencv_objdetect",
			        "-l", "opencv_flann",
			        "-l", "opencv_imgcodecs",
			        "-l", "opencv_photo",
			        "-l", "opencv_videoio"
            ],
            "problemMatcher":{
                "owner": "cpp",
                "fileLocation":[
                    "relative",
                    "${workspaceFolder}"
                ],
                "pattern":[
                    {
                        "regexp": "^([^\\\\s].*)\\\\((\\\\d+,\\\\d+)\\\\):\\\\s*(.*)$",
                        "file": 1,
                        "location": 2,
                        "message": 3
                    }
                ]
            },
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ]
}

 You may also need to check the opencv directory. You may need to install another plocate here: sudo apt install plocate

Step 5: Start configuring c_cpp_properties.json

Ctrl+Shift+P to find Edit Configurations (JSON)

Copy the following program over:

{
    "configurations": [
        {
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**",
                "/usr/include",
                "/usr/local/include/**"
            ],
            "defines": [
                "_DEBUG",
                "UNICODE",
                "_UNICODE"
            ],
            "compilerPath": "/usr/bin/cpp",
            "cStandard": "c11",
            "cppStandard": "c++11",
            "intelliSenseMode": "gcc-x64"
        }
    ],
    "version": 4
}

Press F5:

 smoothly!