cleanup: remove dead code and duplicate docs

- Remove session-ses_2f27.md (161KB raw session log)
- Remove 49 ROOT_* duplicate files across REFERENCE/
- Remove 14 duplicate files between REFERENCE/ root and history/
- Remove asr_legacy.rs (dead code, replaced by asr.rs)
- Remove src/core/worker/ (duplicate JobWorker)
- Remove src/core/layers/ (empty directory)
- Remove 4 .bak files in src/
- Remove 7 dead private methods in worker/processor.rs
- Remove backup directory from git tracking

scripts/test_face_recognition_integration.py

@@ -5,9 +5,7 @@
 
 import os
 import sys
-import json
 import numpy as np
-from pathlib import Path
 
 # 添加項目根目錄到 Python 路徑
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@@ -162,7 +160,7 @@ def test_insightface_model():
 
         if len(faces) > 0:
             face = faces[0]
-            print(f"✅ 人臉屬性:")
+            print("✅ 人臉屬性:")
             print(f"  - 邊界框: {face.bbox}")
             print(f"  - 置信度: {face.det_score:.4f}")
             print(
@@ -199,7 +197,7 @@ def test_face_processor():
         print("正在加載模型...")
         processor.load_models(use_mps=False)
 
-        print(f"✅ 處理器初始化成功")
+        print("✅ 處理器初始化成功")
         print(f"  - 啟用識別: {processor.enable_recognition}")
         print(f"  - 啟用追蹤: {processor.enable_tracking}")
         print(f"  - 啟用聚類: {processor.enable_clustering}")
@@ -224,7 +222,7 @@ def test_face_processor():
 
         if len(detections) > 0:
             detection = detections[0]
-            print(f"✅ 檢測結果示例:")
+            print("✅ 檢測結果示例:")
             print(
                 f"  - 位置: x={detection['x']}, y={detection['y']}, width={detection['width']}, height={detection['height']}"
             )
@@ -236,7 +234,7 @@ def test_face_processor():
                 else:
                     print(f"  - 嵌入向量長度: {len(embedding)}")
             else:
-                print(f"  - 嵌入向量: N/A")
+                print("  - 嵌入向量: N/A")
 
         return True