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_learning.py

@@ -7,7 +7,6 @@ This demonstrates the system's ability to learn new faces
 import requests
 import json
 import os
-import base64
 from PIL import Image
 import io
 
@@ -157,12 +156,12 @@ def test_face_recognition(test_image_path):
 
         if response.status_code == 200:
             data = response.json()
-            print(f"✅ Success!")
+            print("✅ Success!")
             print(f"Total faces detected: {data.get('total_faces', 0)}")
 
             matches = data.get("matches", [])
             if matches:
-                print(f"\n🎯 Recognition results:")
+                print("\n🎯 Recognition results:")
                 for i, match in enumerate(matches):
                     print(f"  {i + 1}. {match.get('person_name', 'Unknown')}")
                     print(f"     Confidence: {match.get('confidence', 0):.3f}")
@@ -317,9 +316,9 @@ def main():
     print("\n📋 SUMMARY:")
     print(f"• API Server: {BASE_URL}")
     print(f"• Video analyzed: {VIDEO_UUID}")
-    print(f"• Faces detected: 78 (from analysis)")
+    print("• Faces detected: 78 (from analysis)")
     print(f"• Faces registered: {learned_count}")
-    print(f"• System ready for learning new faces!")
+    print("• System ready for learning new faces!")
 
     print("\n💡 NEXT STEPS:")
     print("1. Upload new photos to recognize registered faces")