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_places365_scene.py

@@ -2,7 +2,6 @@
 """測試 Places365 場景識別功能"""
 
 import sys
-import json
 from pathlib import Path
 
 # 添加腳本目錄到路徑
@@ -52,7 +51,7 @@ def test_scene_classifier():
 
 def test_video_classification(video_path: str):
     """測試影片場景分類"""
-    print(f"\n=== 測試影片場景分類 ===\n")
+    print("\n=== 測試影片場景分類 ===\n")
     print(f"影片：{video_path}")
 
     if not Path(video_path).exists():
@@ -73,19 +72,19 @@ def test_video_classification(video_path: str):
     )
 
     # 顯示結果
-    print(f"\n✓ 分類完成")
+    print("\n✓ 分類完成")
     print(f"  場景數量：{len(result['scenes'])}")
 
     if result["scenes"]:
         scene = result["scenes"][0]
-        print(f"\n主要場景:")
+        print("\n主要場景:")
         print(f"  類型：{scene['scene_type']}")
         print(f"  中文：{scene.get('scene_type_zh', 'N/A')}")
         print(f"  持續時間：{scene['end_time'] - scene['start_time']:.1f} 秒")
         print(f"  信心度：{scene['confidence'] * 100:.1f}%")
 
         if scene.get("top_5"):
-            print(f"\nTop 5 預測:")
+            print("\nTop 5 預測:")
             for i, pred in enumerate(scene["top_5"][:3]):
                 print(
                     f"  {i + 1}. {pred['scene_type']} ({pred['confidence'] * 100:.1f}%)"