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DeepSNR uses the same Tensorflow libraries as StarNet, so the procedure will be same. If you already have StarNet installed, the process should be extremely easy. Please use appropriate link to download below to save some traffic. Thank you!

Only RGB images taken using monochrome sensors are supported at the moment. CFA Drizzle integration should be used for DSLR images to get good results.

DeepSNR PI repositories are experimental at the moment.

Starting from PI version 1.9.0 Lockhart DeepSNR has a PI repository and this is now the easiest way to install it.

You will need to add two new repositories to PI to make DeepSNR work:

Please make sure you have PI 1.9.x Lockhart installed if you want to use the repository!

https://pixinsight.deepsnrastro.com/
Optionally (see notes below):
https://pixinsight.deepsnrastro.com/tensorflow/

Notes on installing Tensorflow (TF) libraries:

If you have StarNet installed, you do not need to install Tensorflow libraries again – you can skip the second URL.


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Older releases are still available if you prefer to install the old way: