This repository contains the Python code implementation of NS-AQA for platform diving.
Technical Paper: link
Demo: link
We propose a neuro-symbolic paradigm for AQA.
Score Report is saved as an HTML file at "./output/"
Run NS-AQA on a single dive clip.
python nsaqa.py path/to/video.mp4
Run NS-AQA on a single dive from the FineDiving Dataset. Each dive in the dataset has an instance id (x, y).
python nsaqa_finediving.py x y
# e.g. if the instance id is ('01', 1)
python nsaqa_finediving.py 01 1
@inproceedings{okamoto2024hierarchical,
title={Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment},
author={Okamoto, Lauren and Parmar, Paritosh},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={3204--3213},
year={2024}
}