[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