Skip to content

gijzelaerr/vacuum-cleaner

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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

Setup

$ pip install .

or if you want to try the GPU accelerated version:

$ pip install ".[gpu]"

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

Usage

This software is in early alpha stage, and is not ready for end-user usage. Developement of vacuum-cleaner has been discontinued (for now), so this repository is merely and hopefully an example for future radio astronomers wanting to experiment with deep learning techniques for solving the deconvolultion problem.

Training

We used spiel for generating training data used for our experiments.

About

Deep Vacuum Cleaner

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages