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All Projects → mgharbi → demosaicnet

mgharbi / demosaicnet

Licence: other
A minimal torch implementation of [Gharbi2016]

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Deep Joint Demosaicking and Denoising

SiGGRAPH Asia 2016

Michaël Gharbi [email protected] Gaurav Chaurasia Sylvain Paris Frédo Durand

A minimal pytorch implementation of "Deep Joint Demosaicking and Denoising" [Gharbi2016]

Installation

From this repo:

python setup.py install

Using pip:

pip install demosaicnet

Then run the demo script with:

demosaicnet_demo

FAQ

  • How is noise handled? Where is the pretrained model? The noise-aware model is not implementation, see the earlier Caffe implementation for that https://github.com/mgharbi/demosaicnet_caffe
  • How do I train this? The script scripts/train.py is a good start to setup your training job, but I haven't tested it yet, I recommend rolling your own.
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