Why It Matters
RTMPose makes it feasible to run multi-camera practice sessions on commodity GPUs. Even when cameras are positioned off-axis, the model’s priors keep ankle and toe picks stable enough for blade-edge inference.
Recommended Usage
- Deploy as the front-end detector and hand off keypoints to MotionBERT or PoseFormerV2 for temporal refinement.
- Train with rink-specific augmentations (ice reflections, low winter lighting) to keep precision stable during exhibition programs.
- Pair with optical flow or IMU data for robust edge detection in crowded practice sessions.