spacecruft
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satnogs-wut
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cv server 2020-01-02 17:14:30 -07:00
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README.md
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@ -30,7 +30,7 @@ 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-staging` --- Download waterfalls to `data/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).
@ -56,11 +56,17 @@ 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/`
1. Use machine learning script `wut-ml` to build a model based on