Update reid.py

reid.py

@@ -408,31 +408,32 @@ class SQLiteEnhancedReID:
         """
         if not features_list:
             return None
-            
+    
         # Extract embeddings and qualities
         embeddings = []
         qualities = []
-        
+    
         for feat in features_list[-20:]:  # Use last 20
             embeddings.append(feat.features)
             qualities.append(feat.quality)
-            
+    
         embeddings = np.array(embeddings)
         qualities = np.array(qualities)
-        
+    
         # Quality-weighted mean
+        weights = np.array([])  # ✅ ensure weights always exists
         if np.sum(qualities) > 0:
             weights = qualities / np.sum(qualities)
             mean_embedding = np.average(embeddings, axis=0, weights=weights)
         else:
             mean_embedding = np.mean(embeddings, axis=0)
-            
+    
         # Normalize
         mean_embedding = mean_embedding / (np.linalg.norm(mean_embedding) + 1e-7)
-        
+    
         # Track aggregation stats
         self.aggregation_stats['mean_computations'] += 1
-        
+    
         if DEBUG_CONFIG['LOG_AGGREGATION']:
             variance = np.var(embeddings, axis=0).mean()
             self.debug_log.append(DebugInfo(
@@ -440,13 +441,14 @@ class SQLiteEnhancedReID:
                 operation="mean_aggregation",
                 details={
                     'num_embeddings': len(embeddings),
-                    'avg_quality': float(np.mean(qualities)),
+                    'avg_quality': float(np.mean(qualities)) if qualities.size > 0 else 0,
                     'embedding_variance': float(variance),
-                    'weight_range': [float(weights.min()), float(weights.max())] if len(weights) > 0 else [0, 0]
+                    'weight_range': [float(weights.min()), float(weights.max())] if weights.size > 0 else [0, 0]
                 }
             ))
-            
+    
         return mean_embedding
+
         
     def check_session(self, features: np.ndarray, threshold: float = None) -> Optional[int]:
         """