erensayar / cpp-image-processing

Image Processing With OpenCV, C++, CMAKE (Hello World Application)

• DEVELOPMENT STILL CONTINUES
• Linux and Windows used during development

Aplication Screenshots

A. Linux Requirements

1. Install OpenCV

• Install minimal prerequisites

    sudo apt update && sudo apt install -y cmake g++ wget unzip
  

• Download and unpack sources

    wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zip
    wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.x.zip
    unzip opencv.zip
    unzip opencv_contrib.zip
  

• Create build directory and switch into it

    mkdir -p build && cd build
  

• Configure

    cmake -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-4.x/modules ../opencv-4.x
  

• Build

    cmake --build .
  

• MAKE Build Files

    make -j4
  

• Save To OS

    sudo make install
  

• Copy Libraries

    cp -r /usr/local/include/opencv4/opencv2 /usr/include/c++/10
  

2. Install OpenCV Dependencies

• 2.1. Easiest Way Install The Dependencies To Linux

  sudo apt-get install libopencv-*
  

• 2.2. Manuel Installation

  sudo apt-get install python-dev python3-dev libqt4-dev libgphoto2-dev python3-numpy python-numpy libv4l-dev libv4l2rds0 libgtk-3-dev libgstreamer-plugins-base1.0-dev libgst-dev cmake-qt-gui build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libswscale-dev libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev libgstreamer-vaapi1.0-dev libavformat-dev libavformat-ffmpeg-dev -y
  

3. Build And Run

3.1. Build :

mkdir build && cd build
cmake ..
cmake --build .

3.2. Run

./ImageProcessing <IMAGE_PATH>/<image_name>

B. Windows Requirements

• CMake https://cmake.org/download/
• MinGW https://github.com/niXman/mingw-builds-binaries/releases (choose posix version. thread choosing should be posix)
• OpenCV (Normal) https://opencv.org/releases/
• OpenCV (Built By MinGW) https://github.com/huihut/OpenCV-MinGW-Build

1. Setup OpenCV

• Download and extract official OpenCV
• Download opencv_mingw_build
• Go To -> opencv_mingw_build/x64 (you should see mingw file)
• Copy mingw file to official OpenCV directory -> official_opencv/build/x64
• Last of all opencv/build/include/opencv2 file can be copy to mingw include dir

2. Set Path

Add these values to PATH

    C:\<path>\CMake\bin
    C:\<path>\mingw64\bin
    C:\<path>\official_opencv\build\x64\mingw\bin

3. Build And Run

3.1. Build :

   mkdir build && cd build
   cmake .. -G "MinGW Makefiles"
   cmake --build .

3.2. Run

./ImageProcessing <IMAGE_PATH>

IDE Configurations

VS Code

If you use windows, this config can be helpful

If libraries has warning underline, IDE can't see library than you can change include and compiler directory.

• Mouse should be on the warning underline and select quick fix automaticly c_cpp_properties.json file create and then change like this example:

• Add These Lines

    {
        "configurations": [
            {
                "name": "Win32",
                "includePath": [
                    "${workspaceFolder}/**",
                    "C:\\mingw64\\x86_64-w64-mingw32\\include"
                ],
                "defines": [
                    "_DEBUG",
                    "UNICODE",
                    "_UNICODE"
                ],
                "windowsSdkVersion": "10.0.22000.0",
                "compilerPath": "C:\\mingw64\\bin\\gcc.exe",
                "cStandard": "gnu17",
                "cppStandard": "gnu++17",
                "intelliSenseMode": "windows-gcc-x64"
            }
        ],
        "version": 4
    }        
  

• You can maually create config file under this line:

    <workspace_dir>/.vscode/c_cpp_properties.json
  

Sources

• Murtaza Workshops

    www.computervision.zone
    www.youtube.com/@murtazasworkshop
    https://www.youtube.com/watch?v=2FYm3GOonhk
  

Resource's and codes taken from Murtaza.