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README.md

@@ -53,9 +53,9 @@ PaddleSeg支持多进程I/O、多卡并行、跨卡Batch Norm同步等训练加
 
 由于图像分割模型计算开销大，推荐在GPU版本的PaddlePaddle下使用PaddleSeg.
 ```
-pip install paddlepaddle-gpu
+pip install -U paddlepaddle-gpu
 ```
-更多PaddlePaddle的详细安装信息请查看[PaddlePaddle安装说明](https://www.paddlepaddle.org.cn/install/doc/index)。
+同时请保证您参考NVIDIA官网，已经正确配置和安装了显卡驱动，CUDA 9 ，cuDNN 7.3 ，NCCL2 等依赖，其他更加详细的安装信息请参考：[PaddlePaddle安装说明](https://www.paddlepaddle.org.cn/install/doc/index)。
 
 ### 2. 下载PaddleSeg代码
 

contrib/README.md

@@ -245,6 +245,6 @@ PaddleSeg在AI Studio平台上提供了在线体验的教程，欢迎体验：
 |-|-|
 |工业质检|[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/184392)|
 |人像分割|[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/188833)|
-|特色垂类模型|[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/115541)|
+|特色垂类模型|[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/226710)|
 
 

turtorial/finetune_deeplabv3plus.md

@@ -131,7 +131,7 @@ python pdseg/vis.py --use_gpu --cfg ./configs/deeplabv3p_xception65_optic.yaml
 
 ## 在线体验
 
-PaddleSeg在AI Studio平台上提供了在线体验的DeepLabv3+图像分割教程，欢迎[点击体验](https://aistudio.baidu.com/aistudio/projectDetail/101696)。
+PaddleSeg在AI Studio平台上提供了在线体验的DeepLabv3+图像分割教程，欢迎[点击体验](https://aistudio.baidu.com/aistudio/projectDetail/226703)。
 
 
 ## 模型组合