Open ozayr opened 1 year ago
I am currently facing the issue where the entire model class is build re-instantiated when ever a predict request is made, I have not dug into the flask code to figure out why. Any idea why this is happening I would assume the class is created once and then the endpoint just calls its predict function. Like this I cannot save object tracks in BaseModel class hence my asking for an example with a custom model and tracker.
Hi @ozayr Do you use active learning? Please check if you have webhook enabled in project settings
@ozayr Have you achieved it?
@makseq The number of image frames decoded by the ML model and Label Studio doesn't match. Is there any way to fix this?
We don't have such an example yet, however you can contribute it :-)
You can check how to prepare pre-annotations for LS here: https://labelstud.io/guide/predictions.html#Format-pre-annotations-for-Label-Studio
As object tracker model you can try Yolo + Deep Sort
How to write ML model wrapper for LS: https://labelstud.io/guide/ml_create.html