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/visual_chunk_processor.py

@@ -13,13 +13,13 @@ import sys
 import os
 import argparse
 from pathlib import Path
-from typing import Dict, List, Any, Optional, Tuple
+from typing import Dict, List, Any, Optional
 import numpy as np
 from datetime import datetime
 
 # 添加父目錄到路徑以導入其他模組
 sys.path.insert(0, str(Path(__file__).parent.parent))
-from scripts.yolo_processor_contract_v1 import YOLOProcessor, load_yolo_result
+from scripts.yolo_processor_contract_v1 import YOLOProcessor
 
 
 class VisualChunkProcessor:
@@ -402,29 +402,42 @@ def main():
     print(f"[VisualChunk] Starting processing: {args.video_path}")
     print(f"[VisualChunk] Strategy: {args.strategy}")
 
-    processor = VisualChunkProcessor(args.video_path, args.yolo_result)
+    try:
+        processor = VisualChunkProcessor(args.video_path, args.yolo_result)
 
-    if args.strategy == "fixed":
-        result = processor.process(
-            strategy="fixed", frames_per_chunk=args.frames_per_chunk
-        )
-    else:
-        result = processor.process(
-            strategy="similarity",
-            similarity_threshold=args.similarity_threshold,
-            min_frames_per_chunk=args.min_frames_per_chunk,
-        )
+        if args.strategy == "fixed":
+            result = processor.process(
+                strategy="fixed", frames_per_chunk=args.frames_per_chunk
+            )
+        else:
+            result = processor.process(
+                strategy="similarity",
+                similarity_threshold=args.similarity_threshold,
+                min_frames_per_chunk=args.min_frames_per_chunk,
+            )
 
-    # 保存結果
-    with open(args.output_path, "w", encoding="utf-8") as f:
-        json.dump(result, f, ensure_ascii=False, indent=2)
+        # 保存結果
+        with open(args.output_path, "w", encoding="utf-8") as f:
+            json.dump(result, f, ensure_ascii=False, indent=2)
 
-    print(f"[VisualChunk] Processing completed")
-    print(f"[VisualChunk] Generated {result['chunk_count']} visual chunks")
-    print(f"[VisualChunk] Total frames: {result['total_frames']}")
-    print(f"[VisualChunk] Total objects: {result['total_objects']}")
-    print(f"[VisualChunk] Unique classes: {result['unique_classes']}")
-    print(f"[VisualChunk] Result saved to: {args.output_path}")
+        print("[VisualChunk] Processing completed")
+        print(f"[VisualChunk] Generated {result['chunk_count']} visual chunks")
+        print(f"[VisualChunk] Total frames: {result['total_frames']}")
+        print(f"[VisualChunk] Total objects: {result['total_objects']}")
+        print(f"[VisualChunk] Unique classes: {result['unique_classes']}")
+        print(f"[VisualChunk] Result saved to: {args.output_path}")
+    except Exception as e:
+        print(f"[VisualChunk] Error: {e}", file=sys.stderr)
+        result = {
+            "chunk_count": 0,
+            "total_frames": 0,
+            "total_objects": 0,
+            "unique_classes": 0,
+            "chunks": [],
+        }
+        with open(args.output_path, "w", encoding="utf-8") as f:
+            json.dump(result, f, ensure_ascii=False, indent=2)
+        print(f"[VisualChunk] Fallback: empty result saved to {args.output_path}")
 
 
 if __name__ == "__main__":