Image processing container for running Jupyter
Dockerized container for running Jupyter, using pip for package management.
This image is based on
midvalestudent/jupyter-scipy and includes opencv
version 3.x and ffmpeg 3.2 libraries. Pillow and scikits-image also included.
Python 3 only.
PORT=8888 && \ docker run \ -e NOTEBOOK_UID=$(id -u) \ -e NOTEBOOK_GID=$(id -g) \ -w $(pwd) \ -v $(pwd):$(pwd) \ -p $PORT:$PORT \ -h $(hostname) \ midvalestudent/jupyter-image:latest \ start-notebook.sh --ip=$(hostname) --port=$PORT
This will run a notebook server using
$(pwd) as the working directory. New
notebooks will be created as the current user, and served on the (unprivileged)
port of the current host. Change
localhost to serve locally.