Train sleap id model on patch-cam views

[jkbhagatio]

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[lochhh]

note: #486

[lochhh]

1. curate 100? single-animal frames per patch, per animal using RFID detection timestamps as sleap.gui.suggestions.SuggestionFrames
2. use existing non-ID patch cam model (e.g. Y:\aeon\code\scratchpad\sleap\multi_point_tracking\single_animal_CameraPatch\models\231201_173729.single_instance.n=400) to predict body parts without ID
3. assign "Tracks" to these predictions and convert to "user-labelled" frames

We should have 600 labelled frames (2 animals, 3 patches) for training patch ID model.

Using the patch ID model, infer on multi-animal frames for prediction-assisted labelling. Multi-animal frames can be selected:

• as in step 1. above,
• by finding large blobs from CameraTop.Position, (i.e. both animals are at the same patch), and/or
• using CameraTop.Pose to find the times when both animals are at the same patch