diff --git a/main.py b/main.py
index 3ff9183dfebeb6de8f07c5ab2ddc1bb6d66e527d..db06a5e2c2682389cec3c59f4cffbce446b46530 100644
--- a/main.py
+++ b/main.py
@@ -117,11 +117,12 @@ def eval_batch(eval_net, img_lst, crop_size=513, flip=True):
 
 def eval_batch_scales(eval_net, img_lst, scales,
                       base_crop_size=513, flip=True):
+    print(scales)
     sizes_ = [int((base_crop_size - 1) * sc) + 1 for sc in scales]
-    probs_lst = eval_batch(args, eval_net, img_lst, crop_size=sizes_[0], flip=flip)
+    probs_lst = eval_batch(eval_net, img_lst, crop_size=sizes_[0], flip=flip)
     print(sizes_)
     for crop_size_ in sizes_[1:]:
-        probs_lst_tmp = eval_batch(args, eval_net, img_lst, crop_size=crop_size_, flip=flip)
+        probs_lst_tmp = eval_batch(eval_net, img_lst, crop_size=crop_size_, flip=flip)
         for pl, _ in enumerate(probs_lst):
             probs_lst[pl] += probs_lst_tmp[pl]
 
@@ -145,7 +146,6 @@ def net_eval():
     bi = 0
     image_num = 0
     for i, line in enumerate(img_lst):
-        print(line)
         img_path = os.path.join('./datasets/JPEGImages/', line+'.bmp')
         msk_path = os.path.join('./datasets/SegmentationClass/', line+'.png')
         img_ = cv2.imread(img_path)