Deep Vacuum Cleaner
Project description
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
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.
Download files
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size vacuum_cleaner-0.1.3-py2.py3-none-any.whl (141.2 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size vacuum-cleaner-0.1.3.tar.gz (125.7 kB) | File type Source | Python version None | Upload date | Hashes View |
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