RAREblog

I need your advice! Six years ago I did some experiments using TensorFlow on the Raspberry Pi.   It takes hours to compile TensorFlow on the Pi, and when I started the Pi platform wasn't officially supported. Sam Abrahams found his way thorough the rather scary compilation process, and I used his wheel to build a Docker image for the Pi that contained TensorFlow and Jupyter. That made it easy for users to experiment by installing Docker and then running the image. I was a bit anxious, as that was my first docker project, but it proved very popular. Things have change a lot since then. For a while, the TensorFlow team offered official support for the Raspberry Pi, though that has now stopped. You can still download a wheel but it's very out-of-date. I recently discovered Leigh Johnson's post on how to install full TensorFlow on the Pi. It's slightly out-of-date but the instructions on how to compile it yourself probably still work. Most Pi-based AI projects now use Tens...

I've updated an old Docker build to create a Docker image for Raspberry Pi  Buster. It contains Katsuya Hyodo's TensorFlow wheel which has TensorFlow Lite enabled. The image contains Jupyter, so you can connect to the running image from anywhere on your network and run TensorFlow notebooks on the Pi. This is highly experimental - don't use it for anything important :) Once I've done some tidying up (and a lot more testing!) I'll put the image up pon DockerHub. To build/run it you need the Docker nightly build. I installed it by invoking curl -fsSL get.docker.com | CHANNEL=nightly sh If you find any problems please raise an issue on GitHub.