compose.yaml

name: "opencv-projects"

services:
  jupyter:
    image: "opencv-projects:latest"
    build:
      context: "./infra/image"
      dockerfile: "./jupyter/Containerfile"
    container_name: "opencv-projects"
    user: "root"
    environment:
      NB_USER: "opencv"
      CHOWN_HOME: "yes"
      TERM: "linux"
      # When using X Window System, by default the DISPLAY variable is set such
      # that X clients (i.e. GUI programs) connect to the local X server via
      # unix domain socket, located at /tmp/.X11-unix/Xn, where n is X server
      # number
      DISPLAY: "${DISPLAY}"
    working_dir: "/home/opencv"
    ports:
      - "8888:8888"
    volumes:
      - "./infra/image/jupyter/settings/overrides:/opt/conda/share/jupyter/lab/settings"
      - "./infra/image/jupyter/settings/config:/usr/local/etc/jupyter"
      - "./infra/image/jupyter/scripts:/home/opencv/scripts"
      - "./src:/home/opencv/workdir"
      # This allows X clients, i.e. programs that display their GUI to X
      # server, such as when displaying GUI windows with OpenCV, to connect to
      # the X server running on the host. This way the windows will be
      # displayed on the machine running the container.
      # Make sure you have authorized opencv group via xhost locally:
      # $ xhost +si:localgroup:opencv
      - "/tmp/.X11-unix:/tmp/.X11-unix"
    # Pass your webcam here
    # devices:
    #   - "/dev/video0"
    # https://jupyter-docker-stacks.readthedocs.io/en/latest/using/running.html#example-2
    command: >-2
      start-notebook.py
      --ServerApp.root_dir=/home/opencv/workdir
      --IdentityProvider.token='opencv'
    deploy:
      resources:
        reservations:
          devices:
            - capabilities:
                - "compute"
                - "utility"
              driver: "nvidia"
              count: "all"