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Train sleap id model on patch-cam views #490

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jkbhagatio opened this issue Jan 31, 2024 · 2 comments
Open

Train sleap id model on patch-cam views #490

jkbhagatio opened this issue Jan 31, 2024 · 2 comments
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machine learning Requires ML preprocessing steps that feedback into the acquisition system

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@jkbhagatio jkbhagatio added the machine learning Requires ML preprocessing steps that feedback into the acquisition system label Feb 3, 2024
@lochhh
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lochhh commented Feb 8, 2024

note: #486

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lochhh commented Feb 13, 2024

  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

@glopesdev glopesdev removed this from the Social0.2 Ongoing milestone May 15, 2024
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