【Python】dockerでサクッと画像処理環境を整える

docker-compose.yml

version: "3.4"
services:
  python3:
    restart: always # OS起動時にコンテナを自動起動
    build: .
    tty: true
    volumes:
      - ./volume/opt/jupyter:/opt/python/jupyter
      - ./volume/opt/jupyterlab:/opt/python/jupyterlab
      - ./volume/opt/library:/opt/python/library
      - $HOME/.Xauthority/:/root/.Xauthority
      - /tmp/.X11-unix/:/tmp/.X11-unix
    environment:
      - DISPLAY=192.168.0.18:0
    ports:
      - 8888:8888

Dockerfile

FROM python:3.7.3-slim-stretch
ENV PYTHONPATH "/opt/python/library"
COPY ./requirements.txt /tmp/requirements.txt
RUN apt-get update && \
    apt-get install -y libopencv-dev
RUN set -x && \
    pip install -U pip && \
    pip install -r /tmp/requirements.txt && \
    mkdir -p /opt/python/library && \
    mkdir -p /opt/python/jupyter && \
    mkdir -p /opt/python/jupyterlab && \
    mkdir ~/.jupyter && \
    cp /tmp/requirements.txt /opt/python/jupyterrequirements.txt && \
    rm /tmp/requirements.txt
COPY ./jupyter_notebook_config.py /root/.jupyter/jupyter_notebook_config.py
EXPOSE 8888
CMD ["jupyter", "lab", "--allow-root"]

requirements.txt

requests
jupyterlab==0.35.4
matplotlib==3.0.3
numpy==1.16.2
pandas==0.24.2
plotly==3.7.1
seaborn==0.9.0
statsmodels
scikit-learn
opencv-python