Overview

This repository provides examples for deploying machine learning tasks, such as key word spotting, on the Akida Pico FPGA cloud platform.

Setup

1. Install the necessary dependencies:

   # System binaries (ffmpeg is required by tensorflow_datasets for the Speech Commands dataset)
   conda install -c conda-forge jupyterlab ffmpeg
   pip install -r requirements.txt
   

2. Start JupyterLab:

   ./examples/start-jupyterlab.sh
   

Model weights and calibration data needed by the example notebooks are bundled in the repository under the corresponding example folders (e.g. examples/kws/weights/ and examples/kws/calibration/) — no separate download step is required. Example datasets are fetched on first run via tensorflow_datasets.