classifier-pipeline
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Exports tracked animals through thermal vision.
The classifier should include some summary about the novelty of a track in the JSON output. It's not clear how to properly summerise the novelty of a track, but here...
Update novelty presentation when generating MPEGs via classify.py so that it only shows above some threshold. Possibly modify colors to indicate high levels of novelty.
For example: `'first-time-for-us 20180709-031522'`
Currently, checkpoints are saved to both a shared checkpoints folder and a unique log folder. This causes problems if two models train at the same time, as both try to...
If a training job is started but doesn't finish it should be able to pick up from where it left off. Checkpoints are created in both the checkpoints and log...
This should only happen in extract.py