AllenCell / AllenCell/allencell-segmenter-ml

General refactor to align with curation

Ouverte
#389 0 commentaires 0 réactions 0 personnes assignées Voir sur GitHub
low priority refactor
Langage dominant
Python
Étoiles
5
Forks
3
Métriques de merge des PR
Aucune PR mergée en 30 j

Description

As a follow-up to the curation refactor work, it would be good to investigate and refactor the view/service separation in training and prediction (and the rest of the application). Known areas for refactoring:

1. currently, training and prediction's view classes are responsible for starting threads, which doesn't align with our design goal of having services be responsible for any long running / async tasks
2. training and prediction still use the custom publisher/subscriber framework instead of pyqt signals
3. training and prediction are not using the task executor abstraction for async work

This is a rather large ticket, and should be treated as low-ish priority, but it _should_ be done at some point in stages because the longer we wait on it, the bigger the change will have to be.

Guide de contribution

Aucun guide de contribution indexé pour ce dépôt

Évaluation

Cette issue n'a pas encore été évaluée.

Recevez les nouvelles issues par e-mail

Un résumé court des issues GitHub adaptées aux débutants.