paintschainer-dev.sh

sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get install build-essential awscli python3 python3-pip libpython3-dev libhdf5-dev cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev aria2 -y
aria2c -x 16 -s 16 https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda -y
aws s3 cp s3://hakata-generic/cudnn-8.0-linux-x64-v5.1.solitairetheme8 .
tar xvzf cudnn-8.0-linux-x64-v5.1.solitairetheme8
sudo cp cuda/include/cudnn.h /usr/local/cuda-8.0/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda-8.0/lib64
sudo chmod a+r /usr/local/cuda-8.0/lib64/libcudnn*
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CFLAGS=-I/usr/local/cuda-8.0/include
export LDFLAGS=-L/usr/local/cuda-8.0/lib64
export CUDA_HOME=/usr/local/cuda
pip install --upgrade pip
pip3 install pillow cython h5py protobuf numpy
sudo pip3 install chainer
git clone https://github.com/opencv/opencv
cd opencv
git checkout 3.2.0
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_EIGEN=ON -D PYTHON_DEFAULT_EXECUTABLE=/usr/bin/python3 -D PYTHON_INCLUDE_DIRS=/usr/include/python3.5m -D PYTHON_EXECUTABLE=/usr/bin/python3 -D PYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.5m.so.1 ..
make -j9