script.sh

#!/bin/bash

# Detect the operating system
OS=$(uname -s)


# Function to install dependencies on Linux
install_linux() {
    export CC=/usr/bin/clang
    export CXX=/usr/bin/clang++
    CFLAGS="-stdlib=libc++" CXXFLAGS="-stdlib=libc++"

    apt update
    apt install wget -y
    apt install clang -y
    apt install libc++-dev -y
    apt install cmake -y
    apt-get update && apt-get install -y \
        build-essential \
        cmake \
        libopenblas-dev \
        liblapack-dev \
        libx11-dev \
        libgtk-3-dev \
        libboost-python-dev \
        libjpeg \
        libpng \
        libjpeg8-dev \
        libpng-dev \
        libtiff5-dev \
        libtiff-dev \
        libavcodec-dev \
        libavformat-dev \
        libswscale-dev \
        libdc1394-22-dev \
        libxine2-dev \
        libavfilter-dev  \
        libavutil-dev \
        libnvcuvid-dev \
        software-properties-common \
        build-essential \
        checkinstall \
        cmake \
        make \
        pkg-config \
        yasm \
        git \
        vim \
        curl \
        wget \
        sudo \
        apt-transport-https \
        libcanberra-gtk-module \
        libcanberra-gtk3-module \
        dbus-x11 \
        iputils-ping \
        python3-dev \
        python3-pip \
        python3-setuptools \
        && rm -rf /var/lib/apt/lists/*

    apt-get update && apt-get install -y \
        libgl1-mesa-glx \
        libglib2.0-0
    apt-get -y update && apt-get install -y ffmpeg
    export NVIDIA_DRIVER_CAPABILITIES=all
    ln -s /usr/lib/x86_64-linux-gnu/libnvcuvid.so.1 /usr/local/cuda/lib64/libnvcuvid.so
    git clone --recursive https://github.com/dmlc/decord
    cd decord && mkdir build && cd build && cmake .. -DUSE_CUDA=ON -DCMAKE_BUILD_TYPE=Release && make -j2 && cd ../python && python3 setup.py install



    # Install ffmpeg if necessary
    # add-apt-repository ppa:jonathonf/ffmpeg-4
    # apt-get update
    # apt-get install -y ffmpeg libavcodec-dev libavfilter-dev libavformat-dev libavutil-dev
}

# Function to install dependencies on macOS
install_macos() {
    echo "Running on macOS"

    # Install Homebrew if not installed
    if ! command -v brew &> /dev/null; then
        /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
    fi

    xcode-select --install
    softwareupdate --all --install --force

    export CC=/usr/bin/clang >> ~/.bash_profile
    export CXX=/usr/bin/clang >> ~/.bash_profile


    brew update
    brew install wget
    brew install clang
    brew install cmake
    brew install ffmpeg
    brew install libomp

    # Additional dependencies for macOS
    brew install openblas lapack gtk+3 boost-python3 jpeg libpng
}

# Function to install dependencies on Windows
install_windows() {
    echo "Running on Windows"

    # Installation steps for Windows could involve using Chocolatey or other package managers
    choco install wget
    choco install llvm
    choco install cmake
    choco install ffmpeg
}

# Download models function
# download_models() {
#     ED_MODEL_URL="https://huggingface.co/Deressa/GenConViT/resolve/main/genconvit_ed_inference.pth"
#     VAE_MODEL_URL="https://huggingface.co/Deressa/GenConViT/resolve/main/genconvit_vae_inference.pth"

#     ED_MODEL_PATH="./pretrained_models/genconvit_ed_inference.pth"
#     VAE_MODEL_PATH="./pretrained_models/genconvit_vae_inference.pth"

#     mkdir -p pretrained_models

#     if [ ! -f "$ED_MODEL_PATH" ]; then
#         wget -P ./pretrained_models "$ED_MODEL_URL"
#     fi

#     if [ ! -f "$VAE_MODEL_PATH" ]; then
#         wget -P ./pretrained_models "$VAE_MODEL_URL"
#     fi
# }

# Execute installation based on OS
case $OS in
    Linux)
        install_linux
        ;;
    Darwin)
        install_macos
        ;;
    MINGW*|MSYS*|CYGWIN*)
        install_windows
        ;;
    *)
        echo "Unsupported OS: $OS"
        exit 1
        ;;
esac

# Download models (common for all OSes)
download_models

echo "Installation complete."