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/analyze_video_faces.py

@@ -4,14 +4,12 @@
 """
 
 import cv2
-import numpy as np
 import os
 import sys
 import json
 import time
 from datetime import datetime
 import psycopg2
-from psycopg2.extras import RealDictCursor
 
 # 導入人臉識別處理器
 sys.path.append(os.path.dirname(os.path.abspath(__file__)))
@@ -275,7 +273,7 @@ class VideoFaceAnalyzer:
         with open(result_file, "w", encoding="utf-8") as f:
             json.dump(result, f, indent=2, ensure_ascii=False)
 
-        print(f"\n分析完成:")
+        print("\n分析完成:")
         print(f"  - 處理幀數: {len(frames)}")
         print(f"  - 檢測到人臉: {len(detections)}")
         print(f"  - 分析時間: {result['analysis_time']:.1f}秒")
@@ -454,14 +452,14 @@ def main():
             total_faces = sum(r["faces_detected"] for r in video_results)
             total_time = sum(r["analysis_time"] for r in video_results)
 
-            print(f"\n📈 分析摘要:")
+            print("\n📈 分析摘要:")
             print(f"  - 總處理視頻: {len(video_results)}")
             print(f"  - 總處理幀數: {total_frames}")
             print(f"  - 總檢測人臉: {total_faces}")
             print(f"  - 總分析時間: {total_time:.1f}秒")
 
             # 列出生成的文件
-            print(f"\n📄 生成的文件:")
+            print("\n📄 生成的文件:")
             for filename in sorted(os.listdir(analyzer.output_dir)):
                 filepath = os.path.join(analyzer.output_dir, filename)
                 if os.path.isfile(filepath):