diff --git a/train.py b/train.py
index 0817c14d8eec5b27f0a4e1ab0100d06687e97ac0..454d1115fb8478e542d797ee8f4f153475c8200d 100644
--- a/train.py
+++ b/train.py
@@ -19,7 +19,7 @@ from loss.loss import *
 import cv2
 import time
 from datetime import datetime
-
+import random
 def trainer(ops,f_log):
     try:
         os.environ['CUDA_VISIBLE_DEVICES'] = ops.GPUS
@@ -134,7 +134,7 @@ def trainer(ops,f_log):
                 step += 1
             if epoch % 5 == 0 and epoch >0:
                 torch.save(model_.state_dict(), ops.model_exp + '{}-epoch-{}.pth'.format(ops.model,epoch))
-
+            set_seed(random.randint(0,65535))
     except Exception as e:
         print('Exception : ',e) # 打印异常
         print('Exception  file : ', e.__traceback__.tb_frame.f_globals['__file__'])# 发生异常所在的文件