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Title: update RTMPose `SimCCPredictor`: expose `apply_softmax` and fix visibility thresholding by deruyter92 · Pull Request #3306 · DeepLabCut/DeepLabCut · GitHub

Open Graph Title: update RTMPose `SimCCPredictor`: expose `apply_softmax` and fix visibility thresholding by deruyter92 · Pull Request #3306 · DeepLabCut/DeepLabCut

X Title: update RTMPose `SimCCPredictor`: expose `apply_softmax` and fix visibility thresholding by deruyter92 · Pull Request #3306 · DeepLabCut/DeepLabCut

Description: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans - update RTMPose `SimCCPredictor`: expose `apply_softmax` and fix visibility thresholding by deruyter92 · Pull Request #3306 · DeepLabCut/DeepLabCut

Open Graph Description: Motivation A regression analysis revealed that naive training results in reduced mAP in recent versions of DeepLabCut (only scores and mAP are affected; keypoint predictions remain the same, so mAR...

X Description: Motivation A regression analysis revealed that naive training results in reduced mAP in recent versions of DeepLabCut (only scores and mAP are affected; keypoint predictions remain the same, so mAR...

Opengraph URL: https://github.com/DeepLabCut/DeepLabCut/pull/3306

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og:image:altMotivation A regression analysis revealed that naive training results in reduced mAP in recent versions of DeepLabCut (only scores and mAP are affected; keypoint predictions remain the same, so mAR...
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fix visibility thresholding for apply_softmax=Truehttps://github.com/DeepLabCut/DeepLabCut/pull/3306/commits/2e2f0b32a30d2243a72e7a467cd0adb1688c7080
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