Update controlnet_module.py

controlnet_module.py

@@ -1062,7 +1062,9 @@ class ControlNetProcessor:
                     
                     overlap = np.sum(mask_binary & bbox_mask)
            
-                    bbox_overlap_ratio = overlap / mask_area_pixels if mask_area_pixels > 0 else 0
+                    #bbox_overlap_ratio = overlap / mask_area_pixels if mask_area_pixels > 0 else 0
+                    bbox_overlap_ratio = overlap / bbox_area if bbox_area > 0 else 0
+                    
 
                     print(f"     📍 BBox-Überlappung: {overlap:,} von {mask_area_pixels:,} Pixeln ({bbox_overlap_ratio:.1%})")
                   
@@ -1082,11 +1084,19 @@ class ControlNetProcessor:
                     confidence_score = mask_max
         
                     # GESAMTSCORE für Kopf
+                    #score = (
+                    #    area_score * 0.4 +      # 40% Flächenpassung
+                    #    compactness_score * 0.3 + # 30% Kompaktheit
+                    #    bbox_score * 0.2 +      # 20% BBox-Überlappung
+                    #    confidence_score * 0.1   # 10% Konfidenz
+                    #)
+
+            
                     score = (
-                        area_score * 0.4 +      # 40% Flächenpassung
-                        compactness_score * 0.3 + # 30% Kompaktheit
-                        bbox_score * 0.2 +      # 20% BBox-Überlappung
-                        confidence_score * 0.1   # 10% Konfidenz
+                        bbox_overlap_ratio * 0.5 +      # 50% BBox-Überlappung (vorher 20%)
+                        compactness_score * 0.3 +       # 30% Kompaktheit (vorher 30%)
+                        area_score * 0.15 +             # 15% Flächenpassung (vorher 40%)
+                        confidence_score * 0.05         # 5% Konfidenz (vorher 10%)
                     )
         
                     print(f"     📊 GESICHTS-SCORES für Maske {i+1}:")