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>
