Public | Automated Build

Last pushed: a year ago
Short Description
Jupyter notebook server with ffmpeg-3.2.x - derives from jupyter-opencv
Full Description

Containers for running Jupyter

Dockerized containers for running Jupyter, as well as a git filter appropriate
for scrubbing notebook output cells so they don't end up in your history.

These images use pip for package management.


Add the filter to your git project by running

Build docker containers of your choice using docker/docker-compose commands.
Before running any docker-compose commands, set up the environment by exporting
the variables listed in docker/ Reasonable defaults can be set by
sourcing docker/

Alternatively, you can use ./scripts/ as a convenience function for
serving notebooks on your system.

The Dockerfile's aren't complicated, but do document nuances in building
various libraries and executables needed by each package.

Docker Pull Command
Source Repository