Skip to main content

Deep Vacuum Cleaner

Project description

Deep Vacuum Cleaner

Radio telescope deconvolution based using a Conditional Generative Adversarial Deep Network.

Based on pix2pix-tensorflow

Whch is based on pix2pix by Isola et al.

Article about this implemention


You probably want to download a pretrained model.


And extract to share/vacuum/model.


$ 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.


$ vacuum-clean dirty.fits psf.fits


Have a look at vacuum-train --help or at the source. Intended to be trained with spiel as training data generator.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for vacuum-cleaner, version 0.3
Filename, size File type Python version Upload date Hashes
Filename, size vacuum_cleaner-0.3-py2.py3-none-any.whl (31.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size vacuum-cleaner-0.3.tar.gz (14.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page