This installation is tested on a Raspberry Pi 4B with a fresh installation of Debian 12 Bookworm. It does not require manual recompiling any of the libraries or modules.
Update the packages to the latest version.
sudo apt update
sudo apt full-upgrade
Install pyenv following the instructions on https://github.com/pyenv/pyenv:
curl https://pyenv.run | bash
Add the following to the .bashrc and restart shell:
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo '[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
exec $SHELL
pyenv builds from source. Install Python build dependencies for installing different versions following the instructions on https://github.com/pyenv/pyenv/wiki#suggested-build-environment:
sudo apt update
sudo apt install build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev curl \
libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
Check the possible python versions and install the latest compatible version:
pyenv install --list
pyenv install -v 3.9.18
Check the available installed versions and set the global python version to the installed version:
pyenv versions
pyenv global 3.9.18
Install pipenv and set the environment variable such that the virtual environment is always created inside the project folder (second step is not a necessity):
pip install pipenv
echo "export PIPENV_VENV_IN_PROJECT=1" >> ~/.bashrc
Below follows from: https://coral.ai/docs/accelerator/get-started/
Install libedgetpu1-std library:
echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
sudo apt update
sudo apt install libedgetpu1-std
Now plug in the Coral USB Accelerator or if it was plugged in, remove it and plug in again.
Move to the directory, where you would like to have your project and create a virtual environment:
cd ~/Documents
mkdir coral && cd coral
python -m venv .venv
Activate the virtual environment. This can be done either using pipenv shell or simply sourcing the activate script source .venv/bin/activate.
Install the pycoral module from private url using pip:
pip install --extra-index-url https://google-coral.github.io/py-repo/ pycoral~=2.0
Assuming you are still in the coral directory created above, pull the repository and change into the directory:
git clone https://github.com/google-coral/pycoral.git
cd pycoral
Get the dependencies of the examples:
bash examples/install_requirements.sh
Run the image classifier example on https://coral.ai/docs/accelerator/get-started/#3-run-a-model-on-the-edge-tpu:
python3 examples/classify_image.py \
--model test_data/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
--labels test_data/inat_bird_labels.txt \
--input test_data/parrot.jpg