Update app.py

app.py

@@ -965,7 +965,7 @@ def predict_with_paper(image, paper_size, offset, offset_unit, finger_clearance=
 
     try:
         # Mask paper area in input image first
-        masked_input_image = mask_paper_area_in_image(image, paper_contour)
+        # masked_input_image = mask_paper_area_in_image(image, paper_contour)
         
         # Use YOLOv8 to detect objects
         yolo_v8 = get_yolo_v8()
@@ -975,7 +975,7 @@ def predict_with_paper(image, paper_size, offset, offset_unit, finger_clearance=
             crop_offset = (0, 0)
         else:
             # YOLOv8 detects all COCO classes by default
-            results = yolo_v8.predict(masked_input_image, conf=0.1, verbose=False)
+            results = yolo_v8.predict(image, conf=0.1, verbose=False)
             
             if not results or len(results) == 0 or not hasattr(results[0], 'boxes') or len(results[0].boxes) == 0:
                 logger.warning("No objects detected by YOLOv8, proceeding with full image")