766a1d9a6d
Major Changes: - swift_face_pose: output pose angles (yaw/pitch/roll) in face.json - face_processor.py: call swift_face_pose (dual output: face.json + pose.json) - Face struct: add pose_angle field - TKG 方案 B: gaze/lip_track nodes from face.json (no face_detections dependency) - Chunk cleanup: delete old data before rebuild (avoid duplicate key) - Hand nodes: classify by hand_type + gesture (15 combinations) - HAND_OBJECT edges: bbox spatial matching (174 matches) Test Results: - Blake Jones: 8 faces, pose_angle ✓, 66 nodes, 174 edges - FilmRiot: 394 faces, pose_angle ✓, 35 nodes, 39 edges - Left hands: 132, Right hands: 2 Architecture: - All TKG nodes built from JSON files (face.json, hand.json, yolo.json) - Swift processors: sample_interval=3 (Face/Pose/Hand sync) - Cleanup functions: delete_tkg_nodes_by_uuid, delete_tkg_edges_by_uuid
momentry_core
Digital asset management system with video analysis and RAG - Production version with API Key authentication