feat: Swift Face Pose integration + TKG 方案 B

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

scripts/pose_processor.py

@@ -31,7 +31,7 @@ def process_pose(
     video_path: str,
     output_path: str,
     uuid: str = "",
-    sample_interval: int = 30,
+    sample_interval: int = 3,  # Changed from 30 to match Face
     publisher: RedisPublisher = None,
 ) -> dict:
     swift_bin = SWIFT_POSE_PATH
@@ -134,7 +134,7 @@ if __name__ == "__main__":
     parser.add_argument("video_path")
     parser.add_argument("output_path")
     parser.add_argument("--uuid", "-u", default="")
-    parser.add_argument("--sample-interval", type=int, default=30)
+    parser.add_argument("--sample-interval", type=int, default=3)  # Changed from 30 to match Face
     args = parser.parse_args()
 
     publisher = RedisPublisher(args.uuid) if args.uuid else None