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/swift_processors/Package.swift

@@ -118,5 +118,13 @@ let package = Package(
             path: ".",
             sources: ["swift_hand.swift"]
         ),
+        .executableTarget(
+            name: "swift_face_pose",
+            dependencies: [
+                .product(name: "ArgumentParser", package: "swift-argument-parser"),
+            ],
+            path: ".",
+            sources: ["swift_face_pose.swift"]
+        ),
     ]
 )