Metadata-Version: 2.4
Name: sparsepixels
Version: 0.1.0
Summary: Efficient convolution for sparse data on FPGAs
Home-page: https://github.com/hftsoi/sparse-pixels
Author: Ho Fung Tsoi
Author-email: ho.fung.tsoi@cern.ch
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow<2.15.0,>=2.14.0
Requires-Dist: keras<2.15.0,>=2.14.0
Requires-Dist: qkeras<0.10.0,>=0.9.0
Dynamic: license-file

<p align="center">
  <img src="https://raw.githubusercontent.com/hftsoi/sparse-pixels/main/docs/figs/logo.png" width="300" />
</p>

<p align="center">
  <img src="https://raw.githubusercontent.com/hftsoi/sparse-pixels/main/docs/figs/sparsepixels.png" width="900"/>
</p>

<p align="center">
  <img src="https://raw.githubusercontent.com/hftsoi/sparse-pixels/main/docs/figs/cnn_standard.gif" width="400" />
  <img src="https://raw.githubusercontent.com/hftsoi/sparse-pixels/main/docs/figs/cnn_sparse.gif" width="400" />
</p>

# SparsePixels: Efficient convolution for sparse data on FPGAs

[![arXiv](https://img.shields.io/badge/arXiv-2512.06208-b31b1b.svg?style=flat-square)](https://arxiv.org/abs/2512.06208)

> **Note:** code packaging in preparation, stay tuned :)

## Installation

## Getting Started

## Documentation

## Citation
If you find this useful in your research, please consider citing:
```
@article{Tsoi:2025nvg,
    author = "Tsoi, Ho Fung and Rankin, Dylan and Loncar, Vladimir and Harris, Philip",
    title = "{SparsePixels: Efficient Convolution for Sparse Data on FPGAs}",
    eprint = "2512.06208",
    archivePrefix = "arXiv",
    primaryClass = "cs.AR",
    month = "12",
    year = "2025"
}
```
