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satnogs-wut
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cv server 2020-01-02 17:16:11 -07:00
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README.md
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@ -56,18 +56,12 @@ The following steps need to be performed:
1. Organize downloaded waterfalls into categories (e.g. "good", "bad", "failed").
Note: this needs a script written.
Put them into their respective directories under:
* `data/train/good/`
* `data/train/bad/`
* `data/train/failed/`
* `data/validation/good/`
* `data/validataion/bad/`
* `data/validataion/failed/`
* `data/train/good/`
* `data/train/bad/`
* `data/train/failed/`
* `data/validation/good/`
* `data/validataion/bad/`
* `data/validataion/failed/`
1. Use machine learning script `wut-ml` to build a model based on
the files in the `data/train` and `data/validation` directories.