Add MoveNet Lightning pose estimation on Coral 2

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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>

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Alex

2026-02-08 19:29:16 -06:00

parent 19a27a1240

commit cdbf7ff394

3 changed files with 343 additions and 17 deletions

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