spacecruft
/
satnogs-wut
0
0
Fork 0
Code Issues 6 Releases Activity
wut? --- What U Think? SatNOGS Observation AI. https://spacecruft.org/spacecruft/satnogs-wut
30 Commits
1 Branch
52 Tags
10 MiB
Jupyter Notebook 43.3%
Python 29.5%
Shell 25.9%
Makefile 1.3%
 
 
 
 
Go to file
cv server b5caa69a0a license 2020-01-02 16:55:08 -07:00
pics examples 2020-01-02 16:51:29 -07:00
.gitignore last w/o jq 2020-01-02 11:48:06 -07:00
LICENSE-CC license 2020-01-02 16:55:08 -07:00
LICENSE-GPL license 2020-01-02 16:55:08 -07:00
README.md license 2020-01-02 16:55:08 -07:00
wut rename 2020-01-02 16:07:13 -07:00
wut-api-test APIURL 2020-01-02 16:00:37 -07:00
wut-get-obs APIURL 2020-01-02 16:00:37 -07:00
wut-get-staging renames 2020-01-02 11:53:15 -07:00
wut-get-train-bad renames 2020-01-02 11:53:15 -07:00
wut-get-train-good renames 2020-01-02 11:53:15 -07:00
wut-get-validation-bad renames 2020-01-02 11:53:15 -07:00
wut-get-validation-good renames 2020-01-02 11:53:15 -07:00
wut-get-waterfall APIURL 2020-01-02 16:00:37 -07:00
wut-get-waterfall-range range... 2020-01-02 15:58:24 -07:00
wut-ml rename 2020-01-02 16:07:25 -07:00
wut-review-staging renames 2020-01-02 11:53:15 -07:00

README.md

satnogs-wut

The goal of satnogs-wut is to have a script that will take an observation ID and return an answer whether the observation is "good", "bad", or "failed".

Good Observation

Good Observation

Bad Observation

Bad Observation

Failed Observation

Failed Observation

Machine Learning

The system at present is build upon the following:

  • Debian

  • Tensorflow

  • Keras

Learning/Testing, results are inaccurate.

wut?

The following scripts are in the repo:

  • wut --- Feed it an observation ID and it returns if it is a "good", "bad", or "failed" observation.
  • wut-api-test --- API Tests.
  • wut-get-obs --- Download the JSON for an observation ID.
  • wut-get-staging --- Download waterfalls to staging for review (deprecated).
  • wut-get-train-bad --- Download waterfalls to data/train/bad for review (deprecated).
  • wut-get-train-good --- Download waterfalls to data/train/good for review (deprecated).
  • wut-get-validation-bad --- Download waterfalls to data/validation/bad for review (deprecated).
  • wut-get-validation-good --- Download waterfalls to data/validation/good for review (deprecated).
  • wut-get-waterfall --- Download waterfall for an observation ID to download/[ID].
  • wut-get-waterfall-range --- Download waterfalls for a range of observation IDs to download/[ID.
  • wut-ml --- Main machine learning Python script using Tensorflow and Keras.
  • wut-review-staging --- Review all images in data/staging.

Source License / Copying

License: CC By SA 4.0 International and/or GPLv3+ at your discretion. Other code licensed under their own respective licenses.

Copyright (C) 2019, 2020, Jeff Moe