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

Bad 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.

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