diff --git a/main.py b/main.py
index 2e87cc53259519f6d8152ee299312e649249b2f5..1f8aa2cd111ef786eedb797d91b8b85c690fe6b6 100644
--- a/main.py
+++ b/main.py
@@ -159,8 +159,9 @@ def net_eval():
         batch_msk_lst.append(msk_)
         bi += 1
         if bi == 4:
-            batch_res = eval_batch_scales(eval_net, batch_img_lst, scales=[1.0],
-                                          base_crop_size=513, flip=True)
+            #batch_res = eval_batch_scales(eval_net, batch_img_lst, scales=[1.0],
+            #                              base_crop_size=513, flip=True)
+            batch_res = batch_img_lst
             for mi in range(4):
                 hist += cal_hist(batch_msk_lst[mi].flatten(), batch_res[mi].flatten(), 6)
 
@@ -170,8 +171,9 @@ def net_eval():
             print('processed {} images'.format(i + 1))
         image_num = i
     if bi > 0:
-        batch_res = eval_batch_scales(eval_net, batch_img_lst, scales=[1.0],
-                                      base_crop_size=513, flip=True)
+        # batch_res = eval_batch_scales(eval_net, batch_img_lst, scales=[1.0],
+        #                              base_crop_size=513, flip=True)
+        batch_res = batch_img_lst
         for mi in range(bi):
             hist += cal_hist(batch_msk_lst[mi].flatten(), batch_res[mi].flatten(), 6)
         print('processed {} images'.format(image_num + 1))