Wholebody Video Tracking models
Verified mirrors of Google MediaPipe GHUM Full/Lite Pose and Hand task bundles, plus OpenMMLab RTMPose-s/m 133-point ONNX models.
All original pretrained weights are retained. This project does not retrain on a small image subset.
The default body model is GHUM Full. Lite trades accuracy for compute. RTMPose provides alternate 2D wholebody observations; it does not emit measured depth.
manifest.json records SHA-256, original source URLs, model contracts, and immutable Hugging Face asset revisions.
verification.json records actual CPU inference on upstream public fixtures. Passing these checks proves executable model contracts, not accuracy on arbitrary videos or low GPU utilization on a particular device.
No user videos, frames, audio, personal landmarks, or credentials are published. Monocular world coordinates and camera-root translation remain estimates.
MediaPipe source: https://github.com/google-ai-edge/mediapipe/tree/v0.10.21 (Apache-2.0).
MMPose source: https://github.com/open-mmlab/mmpose/tree/759b39c13fea6ba094afc1fa932f51dc1b11cbf9 (Apache-2.0).