Raspberry Pi and ML

Authored by Agustin updated

This is a quick guide about how to prepare a Raspberry Pi to host ML projects.

  1. Use Raspbian OS

Use Raspbian OS

You can donwload this OS in two ways from here here. An app to install the OS into a SD card from your computer or a second way to manually install it.

Use the distrubution fit your way.

Troubleshooting:

Can’t read the SD card

If you face this issue, you can download a sofwtare for SD formatting from here. This will completetly remove and erase all SD contents.

  1. Install NODE / Yarn

We’ll last version of NODE as it explains here:

Node.js v14.x:

# Using Ubuntu
curl -sL https://deb.nodesource.com/setup_14.x | sudo -E bash -
sudo apt-get install -y nodejs

Yarn shows the steps to follow per OS here:

curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list

sudo apt update && sudo apt install yarn

Install pip

sudo apt-get install python-pip -y

docker and docker-compose

https://withblue.ink/2019/07/13/yes-you-can-run-docker-on-raspbian.html