Integrates single-person pose detection into oak-service using MoveNet Lightning on a second Google Coral Edge TPU. Detects 17 body keypoints at ~7ms per frame, derives posture (standing/sitting), facing direction, and arm position. Only runs when a person is detected by YOLOv6. New endpoints: /pose (raw keypoints), /pose/summary (derived posture) New module: pose_estimator.py (PoseEstimator class) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
7.3 KiB
7.3 KiB