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Fix Faster R-CNN detector inference crashing on box_score_thresh: null by rysk-t · Pull Request #3470 · DeepLabCut/DeepLabCut · GitHub
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update docstring for DetectorModelConfig
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deruyter92 committed Sep 1, 2026
commit 0f5330a577b64495b648c459fa0971616f199bbf
5 changes: 5 additions & 0 deletions deeplabcut/pose_estimation_pytorch/config/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,11 @@ class DetectorModelConfig(DLCBaseConfig):
freeze_bn_stats: Whether to freeze batch normalization statistics
freeze_bn_weights: Whether to freeze batch normalization weights
variant: Specific variant of the detector model
box_score_thresh: The score below which the detector discards proposals
internally. ``null`` is normalized to the default. The value is
deliberately permissive, as raising this value silently drops
detections. Note the distinction with ``bboxes_pcutoff`` in the
project config, which is the cutoff used to *plot* bounding boxes.
"""

type: str = ""
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