VagrantでpipenvとOpenCVをインストールした仮想マシン(Ubuntu18.04)を構築する

pipenvの仮想環境内にopencv-pythonをインストールした仮想マシンを構築するには、以下のVagrantfileを使用します。

VAGRANTFILE_API_VERSION = "2"

Vagrant.configure(VAGRANTFILE_API_VERSION) do |config|
  config.vm.box = "bento/ubuntu-18.04"
  config.vm.hostname = "ub1804pipenvopencv"
  config.vm.provider :virtualbox do |vbox|
     vbox.name = "ub1804pipenvopencv"
     vbox.cpus = 4
     vbox.memory = 4096
     vbox.customize ["modifyvm", :id, "--nicpromisc2","allow-all"]
  end
config.vm.network "private_network", ip: "192.168.55.119", :netmask => "255.255.255.0"
config.vm.network "public_network", ip:"192.168.1.119", :netmask => "255.255.255.0"
  config.vm.provision "shell", inline: <<-SHELL
apt-get update
DEBIAN_FRONTEND=noninteractive apt-get -y -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confold" upgrade
locale-gen ja_JP.UTF-8
localectl set-locale LANG=ja_JP.UTF-8
timedatectl set-timezone Asia/Tokyo

# install pipenv
apt-get -y install python3.6 python3-distutils
apt-get -y install python-pip
#pip install --upgrade pip
pip install pip==9.0.1
pip install --upgrade setuptools
pip install pipenv

# install OpenCV
sudo apt-get update
sudo apt-get -y upgrade
sudo apt-get -y install \
  build-essential \
  cmake \
  git \
  libjpeg-dev \
  libpng-dev \
  libtiff-dev \
  libgtk2.0-dev \
  libavcodec-dev \
  libavformat-dev \
  libswscale-dev \
  python-dev \
  python-numpy \
  libtbb2 \
  libtbb-dev \
  libdc1394-22-dev

# create a environment for test.
mkdir /home/vagrant/opencv
cd /home/vagrant/opencv
pipenv --python 3.6
pipenv install opencv-python
pipenv install opencv-contrib-python
#pipenv shell
cat << EOF > /home/vagrant/opencv/test.py
import cv2
print(cv2.__version__)
EOF
pipenv run python test.py

SHELL
end

関連情報

・OpenCVに関する他の記事はこちらを参照してください。