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README.md
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- computational-imaging
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More accessible (6GB instead of 100GB) copy of: https://waller-lab.github.io/LenslessLearning/dataset.html
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The models in [this collection](https://huggingface.co/collections/bezzam/diffusercam-mirflickr-65c05164df72cf99e5066658) use the [original DiffuserCam MirFlickr dataset](https://waller-lab.github.io/LenslessLearning/dataset.html) during training.
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This dataset tries to replicate that version of the dataset (using NPY files during training).
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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.
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For future training, it is recommended to use [this normalized version](https://huggingface.co/datasets/bezzam/DiffuserCam-Lensless-Mirflickr-Dataset-NORM) of the dataset.
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- computational-imaging
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---
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# For future training, it is recommended to use [this normalized version](https://huggingface.co/datasets/bezzam/DiffuserCam-Lensless-Mirflickr-Dataset-NORM) of the dataset.
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More accessible (6GB instead of 100GB) copy of: https://waller-lab.github.io/LenslessLearning/dataset.html
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The models in [this collection](https://huggingface.co/collections/bezzam/diffusercam-mirflickr-65c05164df72cf99e5066658) use the [original DiffuserCam MirFlickr dataset](https://waller-lab.github.io/LenslessLearning/dataset.html) during training.
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This dataset tries to replicate that version of the dataset (using NPY files during training).
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+
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.
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