/DeepLearning-with-cpp

This repository contains solutions about deepLearning with cpp.

Primary LanguageC++

INSTALLING C++ DISTRIBUTIONS OF OPENCV

In case it's your first time running opencv project, unlike libtorch you have to install opencv on your linux. otherwise you can start at build and run executable.

  • First of all install dependencies:
        sudo apt-get update
        sudo apt-get upgrade
        sudo apt-get install libgtk2.0-dev 
        sudo apt-get install pkg-config
  • To compile OpenCV you will need a C++ compiler. also OpenCV uses CMake build configuration tool:
    sudo apt install -y g++
    sudo apt-get install cmake
    sudo apt-get install make
  • Clone opencv's repository using git:
    git clone https://github.com/opencv/opencv.git
    git clone https://github.com/opencv/opencv_contrib.git
  • Create build directory for opencv:
    mkdir -p build && cd build
  • Configure - generate build scripts for the preferred build system:
    cmake -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules ../opencv
  • Build - run actual compilation process. 4 is number of used processor cores.
    make -j4
  • Installation process copies files to predefined locations and do minor patching:
    sudo make install
  • and that's it! now all you have to do is generate the executable file and run it. Note that you may remove build folder because you don't need it anymore.
    rm -r ./*

Build and run executable file

  • This will build your executable file:
    cmake -S ..
    cmake --build . --config Release
  • run executable file:
    ./<file name>

INSTALLING C++ DISTRIBUTIONS OF PYTORCH

First of all you needv to download libtorch from pytorch, then you must unzip it.

  • unlike opencv it's easier to work with libtorch as you don't need to install it on your device.
        mkdir build
        cd build
        cmake -DCMAKE_PREFIX_PATH=/absolute/path/to/libtorch ..

Build and run executable file

        cmake --build . --config Release
  • run executable file:
    ./<file name>