darknet/scripts/setup.sh

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#!/usr/bin/env bash
## enable or disable installed components
install_cuda=false
vcpkg_folder="."
temp_folder="./temp"
###########################
mkdir $temp_folder
cd $temp_folder
sudo apt-get install cmake git ninja-build build-essentials g++
if [ "$install_cuda" = true ] ; then
if [[ "$OSTYPE" == "darwin"* ]]; then
echo "Unable to provide CUDA on macOS"
else
# Download and install CUDA
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.2.89-1_amd64.deb
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo dpkg -i cuda-repo-ubuntu1804_10.2.89-1_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo dpkg -i nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt update
sudo apt-get install -y --no-install-recommends cuda-compiler-10-2 cuda-libraries-dev-10-2 cuda-driver-dev-10-2 cuda-cudart-dev-10-2 cuda-curand-dev-10-2
sudo apt-get install -y --no-install-recommends libcudnn7-dev
sudo ln -s /usr/local/cuda-10.2 /usr/local/cuda
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDACXX=/usr/local/cuda/bin/nvcc
export CUDA_PATH=/usr/local/cuda
export CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda
features = "full"
fi
else
features = "opencv-base,weights,weights-train"
fi
rm -rf $temp_folder
cd ..
cd $vcpkg_folder
git clone https://github.com/microsoft/vcpkg
cd vcpkg
./bootstrap-vcpkg.sh -disableMetrics
./vcpkg install darknet[${features}]