[FastDeploy] Optimize FastDeploy example docs (#3008)

Author: DefTruth

deploy/fastdeploy/matting/cpu-gpu/cpp/README.md

@@ -22,6 +22,8 @@ tar xvf fastdeploy-linux-x64-x.x.x.tgz
 
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/matting/cpp-gpu/cpp
 
 # 编译部署示例 

deploy/fastdeploy/matting/cpu-gpu/python/README.md

@@ -17,6 +17,8 @@ PaddleSeg支持利用FastDeploy在NVIDIA GPU、X86 CPU、飞腾CPU、ARM CPU、I
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/matting/cpp-gpu/python
 
 # 下载PP-Matting模型文件和测试图片

deploy/fastdeploy/semantic_segmentation/amlogic/a311d/cpp/README.md

@@ -17,6 +17,10 @@
 
 1. 将编译后的库拷贝到当前目录，可使用如下命令：
 ```bash
+git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
+
 cp -r FastDeploy/build/fastdeploy-timvx/ path/to/PaddleSeg/deploy/fastdeploy/semantic_segmentation/amlogic/a311d/cpp
 ```
 

deploy/fastdeploy/semantic_segmentation/ascend/cpp/README.md

@@ -14,6 +14,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/ascend/cpp
 
 mkdir build

deploy/fastdeploy/semantic_segmentation/ascend/python/README.md

@@ -13,6 +13,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/ascend/python
 
 # 下载PP-LiteSeg模型文件和测试图片

deploy/fastdeploy/semantic_segmentation/cpu-gpu/cpp/README.md

@@ -22,6 +22,8 @@ tar xvf fastdeploy-linux-x64-x.x.x.tgz
 
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/cpp-gpu/cpp
 
 # 编译部署示例

deploy/fastdeploy/semantic_segmentation/cpu-gpu/python/README.md

@@ -19,6 +19,8 @@ conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=
 
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/cpp-gpu/python
 
 # 下载Unet模型文件和测试图片

deploy/fastdeploy/semantic_segmentation/kunlun/cpp/README.md

@@ -14,6 +14,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/kunlun/cpp
 
 mkdir build

deploy/fastdeploy/semantic_segmentation/kunlun/python/README.md

@@ -14,6 +14,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/kunlun/python
 
 # 下载PP-LiteSeg模型文件和测试图片

deploy/fastdeploy/semantic_segmentation/rockchip/rknpu2/cpp/README.md

@@ -20,6 +20,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/rockchip/rknpu2/cpp
 
 # 编译部署示例

deploy/fastdeploy/semantic_segmentation/rockchip/rknpu2/python/README.md

@@ -19,6 +19,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/rockchip/rknpu2/python
 
 # 下载图片

deploy/fastdeploy/semantic_segmentation/rockchip/rv1126/cpp/README.md

@@ -18,6 +18,10 @@
 
 2. 将编译后的库拷贝到当前目录，可使用如下命令：
 ```bash
+git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
+
 cp -r FastDeploy/build/fastdeploy-timvx/PaddleSeg/deploy/fastdeploy/semantic_segmentation/rockchip/rv1126/cpp
 ```
 

deploy/fastdeploy/semantic_segmentation/serving/fastdeploy_serving/README.md

@@ -12,6 +12,8 @@ Before serving deployment, it is necessary to confirm the hardware and software
 ```bash
 # Download demo code
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# Note: If the current branch cannot find the following fastdeploy test code, switch to the develop branch
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/serving/fastdeploy_serving
 
 # Download PP_LiteSeg model file

deploy/fastdeploy/semantic_segmentation/serving/fastdeploy_serving/README_CN.md

@@ -12,6 +12,8 @@ PaddleSeg 服务化部署示例是利用FastDeploy Serving搭建的服务化部
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/serving/fastdeploy_serving
 
 # 下载PP-LiteSeg模型文件

deploy/fastdeploy/semantic_segmentation/serving/simple_serving/README.md

@@ -12,6 +12,8 @@ PaddleSeg Python Simple serving is an example of serving deployment built by Fas
 ```bash
 # Download demo code
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# Note: If the current branch cannot find the following fastdeploy test code, switch to the develop branch
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/serving/simple_serving
 
 # Download PP_LiteSeg model

deploy/fastdeploy/semantic_segmentation/serving/simple_serving/README_CN.md

@@ -12,6 +12,8 @@ PaddleSeg Python轻量服务化部署是FastDeploy基于Flask框架搭建的可
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/serving/simple_serving
 
 # 下载PP-LiteSeg模型文件

deploy/fastdeploy/semantic_segmentation/sophgo/cpp/README.md

@@ -31,6 +31,8 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/sophgo/cpp
 ```
 

deploy/fastdeploy/semantic_segmentation/sophgo/python/README.md

@@ -14,13 +14,15 @@
 ```bash
 # 下载部署示例代码
 git clone https://github.com/PaddlePaddle/PaddleSeg.git 
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
 cd PaddleSeg/deploy/fastdeploy/semantic_segmentation/sophgo/python
 
 # 下载图片
 wget https://paddleseg.bj.bcebos.com/dygraph/demo/cityscapes_demo.png
 
 # PaddleSeg模型转换为bmodel模型
-将Paddle模型转换为SOPHGO bmodel模型，转换步骤参考[文档](../README_CN.md#将paddleseg推理模型转换为bmodel模型步骤)
+将Paddle模型转换为SOPHGO bmodel模型，转换步骤参考[文档](../README_CN.md)
 
 # 推理
 python3 infer.py --model_file ./bmodel/pp_liteseg_1684x_f32.bmodel --config_file ./bmodel/deploy.yaml --image cityscapes_demo.png