Showcasing the demo presented at FCCM 2022 where a streaming-based CNN FPGA architecture for streaming inputs was presented.
We use the RadioML dataset to showcase the accelerator's performance and achieve an accuracy of 94%.
Step-by-step instructions on how to set up the project.
# Clone the repository
git clone https://github.com/axdy/rfsoc_modulation_classification.git
# Navigate to the project directory
cd rfsoc_modulation_classification
# Install package
pip install ./
- Launch the notebook
voila_modulation_classification.ipynb
and launch in voila mode. - Interact with ipywidgets and experiment with accelerator running live in the programmable logic.
e a.maclellan at strath.ac.uk