bezzam/DiffuserCam-Lensless-Mirflickr-Dataset

For future training, it is recommended to use this normalized version of the dataset.

More accessible (6GB instead of 100GB) copy of: https://waller-lab.github.io/LenslessLearning/dataset.html

Original license: https://github.com/Waller-Lab/LenslessLearning/blob/master/LICENSE

This dataset was prepared with this script.

After cloning and installing LenslessPiCam, ADMM reconstruction can be applied to the dataset with this script (handles dataset downloading from Hugging Face).

python scripts/recon/dataset.py

The models in this collection use the original DiffuserCam MirFlickr dataset during training. This dataset tries to replicate that version of the dataset (using NPY files during training). One slight different is that we were required to subtract the mininum of value the numpy arrays so that they could be stored as viewable images.