update links master

model_zoo/official/cv/retinaface_resnet50/README.md

@@ -248,7 +248,7 @@ Parameters for both training and evaluation can be set in config.py
 | Total time                 | 4pcs: 6.4 hours                                              |
 | Parameters (M)             | 27.29M                                                       |
 | Checkpoint for Fine tuning | 336.3M (.ckpt file)                                          |
-| Scripts                    | [retinaface script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/retinaface) |
+| Scripts                    | [retinaface script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/retinaface_resnet50) |
 
 ## [How to use](#contents)
 

model_zoo/official/cv/retinaface_resnet50/README_CN.md

@@ -257,7 +257,7 @@ RetinaFace使用ResNet50骨干提取图像特征进行检测。从ModelZoo获取
 | 总时长 | 3卡：8.2小时 |
 | 参数 (M) | 27.29M            |
 | 调优检查点 | 336.3M （.ckpt 文件） |
-| 脚本                    | [RetinaFace脚本](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/retinaface) |
+| 脚本                    | [RetinaFace脚本](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/retinaface_resnet50) |
 
 ## 用法
 

model_zoo/official/cv/shufflenetv1/README_CN.md

@@ -167,7 +167,7 @@ result:{'Loss': 2.0479587888106323, 'Top_1_Acc': 0.7385817307692307, 'Top_5_Acc'
 | 训练总时间 (8p)             | 7.0h                                    |
 | 评估总时间                  | 99s                                    |
 | 参数量 (M)                 | 44M                                   |
-| 脚本                       | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/ShuffleNetV1) |
+| 脚本                       | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/shufflenetv1) |
 
 # 随机情况的描述