mirror of https://github.com/AlexeyAB/darknet.git
49 lines
1.8 KiB
Bash
Executable File
49 lines
1.8 KiB
Bash
Executable File
#!/usr/bin/env bash
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## enable or disable installed components
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install_cuda=false
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vcpkg_folder="."
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temp_folder="./temp"
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###########################
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mkdir $temp_folder
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cd $temp_folder
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sudo apt-get install cmake git ninja-build build-essentials g++
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if [ "$install_cuda" = true ] ; then
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if [[ "$OSTYPE" == "darwin"* ]]; then
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echo "Unable to provide CUDA on macOS"
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else
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# Download and install CUDA
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wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_10.0.130-1_amd64.deb
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sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/7fa2af80.pub
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sudo dpkg -i cuda-repo-ubuntu1404_10.0.130-1_amd64.deb
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wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64/nvidia-machine-learning-repo-ubuntu1404_4.0-2_amd64.deb
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sudo dpkg -i nvidia-machine-learning-repo-ubuntu1404_4.0-2_amd64.deb
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sudo apt-get -y update
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sudo apt-get install -y --no-install-recommends cuda-compiler-10-0 cuda-libraries-dev-10-0 cuda-driver-dev-10-0 cuda-cudart-dev-10-0 cuda-cublas-dev-10-0 cuda-curand-dev-10-0
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sudo apt-get install -y --no-install-recommends libcudnn7-dev
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sudo ln -s /usr/local/cuda-10.0/lib64/stubs/libcuda.so /usr/local/cuda-10.0/lib64/stubs/libcuda.so.1
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export CUDACXX=/usr/local/cuda-10.0/bin/nvcc
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export CUDA_PATH=/usr/local/cuda-10.0
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export CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-10.0
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export LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64:/usr/local/cuda-10.0/lib64/stubs:${LD_LIBRARY_PATH}"
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features = "full"
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fi
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else
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features = "opencv-base,weights,weights-train"
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fi
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rm -rf $temp_folder
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cd ..
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cd $vcpkg_folder
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git clone https://github.com/Microsoft/vcpkg
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cd vcpkg
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./bootstrap-vcpkg.sh
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./vcpkg install darknet[${features}]
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