Deep Vacuum Cleaner

Radio telescope deconvolultion version of the tensorflow implementation of pix2pix.

Based on pix2pix-tensorflow

Whch is based on pix2pix by Isola et al.

Article about this implemention

Interactive Demo

Setup

$ pip install vacuum-cleaner

or if you want to try the GPU accelerated version:

$ pip install "vacuum-cleaner[gpu]"

But the tensorflow-gpu package is not the most portable package available.

Usage

$ vacuum-clean dirty-0.fits,dirty-1.fits,dirty-2.fits  psf-0.fits,psf-1.fits,psf2.fits

Names don't matter, order does. only supports fits files of 256 256 for now. Will write output the current folder.

Training

For now undocumented, but you should use vacuum.manual and the output of spiel.