Update app.py

app.py

@@ -1006,7 +1006,7 @@ def predict_with_paper(image, paper_size, offset, offset_unit, finger_clearance=
         objects_mask = cv2.morphologyEx(full_mask, cv2.MORPH_OPEN, kernel)
         
         # Resize mask to match cropped region and place back in original image space
-        full_mask = np.zeros((orig_size[0], orig_size[1]), dtype=np.uint8)
+        full_mask = np.zeros((image.shape[0], image.shape[1]), dtype=np.uint8)
         x_min, y_min = crop_offset  # Use crop_offset to ensure defined variables
         if cropped_image.shape[:2] != processed_size:
             resized_mask = cv2.resize(objects_mask, (cropped_image.shape[1], cropped_image.shape[0]))