Official implementation for "Compressive video via IR-pulsed illumination"

Requirements

• Python 3.9
• Pytorch >=1.10+
• Numpy
• Scikit-image
• Scikit-learn
• tqdm
• scipy
• mpmath
• tensorboard

Installation

• install anaconda (https://www.anaconda.com/products/distribution)
• on anaconda prompt (windows) or terminal (linux) create enviroment:

conda create -n dpwfs python=3.9
conda activate dpwfs

• Install pytorch + cuda:

conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch

Description

This codes is used to train the proposed model with the DAVIS2017 dataset

Citation

If you find our project useful, please cite:

@article{guzman2023compressive,
  title={Compressive video via IR-pulsed illumination},
  author={Guzm{\'a}n, Felipe and Skowronek, James and Vera, Esteban and Brady, David J},
  journal={Optics Express},
  volume={31},
  number={23},
  pages={39201--39212},
  year={2023},
  publisher={Optica Publishing Group}
}

Acknowledgement

The codes are based on STFormer, we also refer to codes in FILM, EDSC. Thanks for sharing the code!.

Contact

You can contact Felipe Guzman by sending mail to [email protected] for questions regarding this repository