Update app.py

app.py

@@ -360,7 +360,8 @@ class ForgeryDetector:
         print(f"[DEBUG] prob_map_resized shape: {prob_map_resized.shape}")
         
         # Refine mask
-        binary_mask = (prob_map_resized > 0.5).astype(np.uint8)
+        # Lower threshold for more sensitive detection
+        binary_mask = (prob_map_resized > 0.3).astype(np.uint8)
         refined_mask = self.mask_refiner.refine(prob_map_resized, original_size=original_image.shape[:2])
         
         print(f"[DEBUG] binary_mask shape: {binary_mask.shape}")
@@ -440,7 +441,8 @@ class ForgeryDetector:
             forgery_type = int(predictions[0])
             confidence = float(confidences[0])
             
-            if confidence > 0.6:
+            # Lower confidence threshold to detect more regions
+            if confidence > 0.5:
                 results.append({
                     'region_id': region['region_id'],
                     'bounding_box': region['bounding_box'],