Update app.py

app.py

@@ -354,18 +354,18 @@ class ForgeryDetector:
         # Classify regions
         results = []
         for region in regions:
-                df = decoder_features[0]          # shape: [C, H, W]
-                _, fh, fw = df.shape
+            df = decoder_features[0]          # shape: [C, H, W]
+            _, fh, fw = df.shape
 
-                region_mask = region['region_mask']
-                if region_mask.shape != (fh, fw):
-                    region_mask = cv2.resize(
-                        region_mask.astype(np.uint8),
-                        (fw, fh),
-                        interpolation=cv2.INTER_NEAREST
-                )
+            region_mask = region['region_mask']
+            if region_mask.shape != (fh, fw):
+                region_mask = cv2.resize(
+                    region_mask.astype(np.uint8),
+                    (fw, fh),
+                    interpolation=cv2.INTER_NEAREST
+            )
 
-                region_mask = region_mask.astype(bool)
+            region_mask = region_mask.astype(bool)
             
             # Extract features
             features = self.feature_extractor.extract(