Metadata-Version: 2.1
Name: foscat
Version: 1.0.91
Summary: Synthesise 2D or Healpix data using Cross Scattering Transform
Home-page: https://gitlab.ifremer.fr/deepsee/foscat
Author: Jean-Marc DELOUIS
Author-email: jean.marc.delouis@ifremer.fr
Maintainer: Theo Foulquier
Maintainer-email: theo.foulquier@ifremer.fr
License: MIT
Keywords: Scattering transform,Component separation,denoising
Requires-Dist: imageio
Requires-Dist: imagecodecs
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: tensorflow-gpu
Requires-Dist: healpy

Synthesise data (2D or Healpix) using Cross Scattering Transform (https://arxiv.org/abs/2207.12527) usable for component separation (e.g. denoising). 
 #startup 
 To generate test files run the follosing lines in python: 
 >python

>> import foscat.build_demo as dem

>> dem.genDemo()

>> quit()

##run 2D test

>python test2D.py

to plot results

>python test2Dplot.py

##run Healpix test

 >python testHealpix.py 

 to plot results 

 >python testHplot.py 

 Note: If mpi is availble you can run testHealpix_mpi.py that uses 3 nodes to do the same computation than tesHealpix.py
