Comments (2)
It is mostly solved by not normalizing the data to [0,1] in load data. it is fixed if #84.
Still, the reconstruction is slightly worse than https://github.com/YohannPerron/LenslessPiCamYohann/tree/Testing (with the same model).
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Reconstruction on the "Testing" branch:
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Related Issues (13)
- Update to Pycsou v2 HOT 1
- Modules HOT 3
- Unrolled optimization results HOT 1
- Using paramiko for remote display and capture
- Single reconstruction script
- Running Telegram server on Raspberry Pi
- Update to pyxu
- rgb2gray doesn't properly support torch.tensor
- Cleaner API for trainable mask
- How to calculate the homography transform? HOT 3
- Remove DigiCamCelebA
- Can i do spectral reconstruction using this package? HOT 2
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