romilly/rpi-docker-tensorflow repository overview

Docker image for the Raspbery Pi which contains Tensorflow, Jupyter and three tensorflow notebooks copied from the official Google docker Tensorflow build..

This is not an official tensorflow port, so don't ask for or expect support from the tensorflow team.

⁠Running the image

This run instruction expects a directory called myNotebooks within your home directory.

If you save an IPython notebook to the myNotebooks sub-directory while running your container, it will get saved to the myNotebooks directory on your Pi.

Notebooks saved to that directory will be persistent - in other words, they will still be there when the container is stopped and restarted.

Execute this command in a terminal:

docker run -it -p 8888:8888 -v ~/myNotebooks:/notebooks/myNotebooks romilly/rpi-docker-tensorflow

Previously there were some spurious warnings when the container started but the latest resin image fixes these. (Thanks, resinators!)

You can probably ignore the warnings about the insecurity of the IPython server configuration so long as you do not store any sensitive data or code in your notebooks.

⁠Connecting to the notebooks

Open a browser on http://raspberrypi:8888 where raspberrypi is the hostname of the Pi on which the docker image is running, or on http://localhost:8888 on the Pi itself.

⁠Stopping the image

In the terminal session where you ran the container, type Ctr-C twice in quick succession. The container will stop.

⁠Sources

1. Docker: https://github.com/umiddelb/armhf/wiki/Get-Docker-up-and-running-on-the-RaspberryPi-(ARMv6)-in-four-steps-(Wheezy)⁠
2. Base image⁠: from a post by the chaps at resin.io⁠
3. Pi tensorflow whl file⁠ from Sam Abrahm's Github project⁠
4. Notebooks and notebook config from The Tensorflow Docker Build on Github⁠