The public repository for DanceCam, showcasing some of the features of our atmospheric turbulence mitigation method.
The project website is available at https://dancecam.info.
The paper is available here.
- Python 3.8+
- PyTorch 1.10.0+
- NumPy 1.21.2+
- Astropy 4.0.1+
- tqdm 4.62.3+
- Blended Tiling 0.1.0+
- SEWpy 0.1.0+
- Clone the repository:
git clone https://github.com/DanceCam/dancelibpublic.git- Install:
cd dancelibpublic
pip install -e .The demo folder contains a simple Jupyter notebook that shows how to use the library to perform inference on a video stream.
To cite DanceCam, please use the following BibTeX entry:
@article{bialek2024dancecam,
title = {DanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streams},
author = {Bialek, Spencer and Bertin, Emmanuel and Fabbro, S{\'e}bastien and Bouy, Herv{\'e} and Rivet, Jean-Pierre and Lai, Olivier and Cuillandre, Jean-Charles},
journal = {Monthly Notices of the Royal Astronomical Society},
pages = {stae1018},
year = {2024},
url = {https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/stae1018/7654005},
publisher = {Oxford University Press},
}