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[Feature] Make the cellfinder training data generation workflow clearer #219

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adamltyson opened this issue Jul 19, 2024 · 0 comments

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adamltyson commented Jul 19, 2024

I think it should be made clearer that the general workflow is:

Run cellfinder
Load curation widget
Create new training data layers
Add points to these new layers
Extract cubes
Train
Run cellfinder
Repeat curation/training as necessary, either by adding to the existing training dataset, or creating new ones

A user was curating the cellfinder results directly. This meant:

Cube generation took forever
Retraining the network didn't actually impact performance much

adamltyson added the enhancement label

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