Awesome
Overview
This repo provides the code of Neuromorphic Imaging and Classification with Graph Learning.
@article{zhang2024neurocomputing,
title = {Neuromorphic Imaging and Classification with Graph Learning},
author = {Pei Zhang and Chutian Wang and Edmund Y. Lam},
journal = {Neurocomputing},
volume = {565},
pages = {127010(1--9)},
month = {January},
year = {2024},
doi = {10.1016/j.neucom.2023.127010},
}
Dataset
- N-CARS: https://www.prophesee.ai/2018/03/13/dataset-n-cars/
- N-MNIST: https://www.garrickorchard.com/datasets/n-mnist
- ASL-DVS: https://github.com/PIX2NVS/NVS2Graph
- KTH Dataset: https://www.csc.kth.se/cvap/actions/
Download our SN-KTH (password: zhang2024neuromorphic
):
To simulate your own SN-KTH, please refer to v2e or PIX2NVS.
Implementation
Dependencies
torch
torch_geometric
numpy
scipy
dv
psee_loader (https://github.com/prophesee-ai/prophesee-automotive-dataset-toolbox/tree/master)
Usage
- We currently offer the core code only. Hopefully it already helps.
- Training & Testing code will be released in the near future. Stay tuned for updates!
Acknowledgement
Thank NVS2Graph for code reference.