This is a quick guide about how to prepare a Raspberry Pi to host ML projects.
- 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.
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.
- Install NODE / Yarn
We’ll last version of NODE as it explains here:
# 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
sudo apt-get install python-pip -y