[Doc] Add readme for C and C# directory (#1452)

add docs
2025-10-31 03:46:40 +08:00 · 2023-02-27 21:02:57 +08:00
parent 266ae046f2
commit 16c48203e3
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--- a/c_api/README.md
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 # C API implementation
 This directory is the implementation of FastDeploy C SDK, which provides solutions for scenarios where users need C API.
 ## How to compile and install
 When compiling the fastdeploy library, turn on the compile option --WITH_CAPI=ON to start compiling for this directory. The compiled C library and fastdeploy library are in the same dynamic library file, such as libfastdeploy.a under Linux. For example, to compile the CPU version of fastdeploy and compile the C API into the library, you can use the following command
 ```bash
 git clone https://github.com/PaddlePaddle/FastDeploy.git
 cd FastDeploy
 mkdir build && cd build
 cmake .. -DENABLE_ORT_BACKEND=ON \
          -DENABLE_PADDLE_BACKEND=ON \
          -DENABLE_OPENVINO_BACKEND=ON \
          -DCMAKE_INSTALL_PREFIX=${PWD}/compiled_fastdeploy_sdk \
          -DENABLE_VISION=ON \
          -DWITH_CAPI=ON \
          -DOPENCV_DIRECTORY=/usr/lib/x86_64-linux-gnu/cmake/opencv4 \
          -DENABLE_TEXT=ON
 make -j12
 make install
 ```
 For more details about compiling the fastdeploy library, please refer to the documentation
 - [FastDeploy installation](../docs/en/build_and_install/README.md)
 ## How to use
 The header files of the provided C API can be used. If it is manually compiled and installed, such as the above command, after `make install`, the header files will be in the directory ${PWD}/compiled_fastdeploy_sdk/include/fastdeploy_capi/. If it is a downloaded precompiled library, after decompression,  include/fastdeploy_capi/ is the header file of the C API. For usage examples, please refer to the use cases under examples
 - [paddleclas](../examples/vision/classification/paddleclas/c/README.md)
 - [paddledetection](../examples/vision/detection/paddledetection/c/README.md)
 - [pp-ocrv2](../examples/vision/ocr/PP-OCRv2/c/README.md)
 - [paddleseg](../examples/vision/segmentation/paddleseg/cpu-gpu/c/README.md)
 ## Other documents
 - [How to Develop C API for a New Model](../docs/en/faq/develop_c_api_for_a_new_model.md)
 - [Vision Results](../docs/api/vision_results/README.md)
--- a/c_api/README_CN.md
+++ b/c_api/README_CN.md
@@ -0,0 +1,39 @@
 # C API实现
 该目录下为FastDeploy C SDK的接口实现，为用户需要C API的场景提供解决方案。
 ## 如何编译安装
 在编译fastdeploy库的时候，打开编译选项 --WITH_CAPI=ON，即可开启对于该目录的编译。编译后的C库和fastdeploy库在同一个动态库文件中，如linux下为libfastdeploy.a。比如，编译CPU版本的fastdeploy并且将C API一同编入库可以使用如下命令
 ```bash
 git clone https://github.com/PaddlePaddle/FastDeploy.git
 cd FastDeploy
 mkdir build && cd build
 cmake .. -DENABLE_ORT_BACKEND=ON \
         -DENABLE_PADDLE_BACKEND=ON \
         -DENABLE_OPENVINO_BACKEND=ON \
         -DCMAKE_INSTALL_PREFIX=${PWD}/compiled_fastdeploy_sdk \
         -DENABLE_VISION=ON \
         -DWITH_CAPI=ON \
         -DOPENCV_DIRECTORY=/usr/lib/x86_64-linux-gnu/cmake/opencv4 \
         -DENABLE_TEXT=ON
 make -j12
 make install
 ```
 关于编译fastdeploy库的更多详情信息可以参考文档
 - [FastDeploy安装](../docs/cn/build_and_install/README.md)
 ## 如何使用
 因为提供的C API的头文件即可进行使用，如果是手动编译安装，比如上述命令，`make install`之后，头文件将会在目录${PWD}/compiled_fastdeploy_sdk/include/fastdeploy_capi/下。如果是下载的预编译好的库，解压缩之后include/fastdeploy_capi/下即是C API的头文件。关于使用示例可以参考examples下的用例
 - [paddleclas](../examples/vision/classification/paddleclas/c/README_CN.md)
 - [paddledetection](../examples/vision/detection/paddledetection/c/README_CN.md)
 - [pp-ocrv2](../examples/vision/ocr/PP-OCRv2/c/README_CN.md)
 - [paddleseg](../examples/vision/segmentation/paddleseg/cpu-gpu/c/README_CN.md)
 ## 其它文档
 - [如何给新模型增加C API](../docs/cn/faq/develop_c_api_for_a_new_model.md)
 - [Vision Results](../docs/api/vision_results/README_CN.md)
--- a/csharp/README.md
+++ b/csharp/README.md
@@ -0,0 +1,41 @@
 # C# API implementation
 This directory is the implementation of FastDeploy C# SDK, which provides solutions for scenarios where users need C# API.
 ## How to compile and install
 When compiling the fastdeploy library, enable the compilation option --WITH_CSHARPAPI=ON to enable compilation for this directory. The compiled C# library is in the csharp_lib directory after installation. For example, to compile the CPU version of the fastdeploy library under Windows and add the C# API library, you can use the following command
 ```shell
 git clone https://github.com/PaddlePaddle/FastDeploy.git
 cd FastDeploy
 mkdir build && cd build
 cmake .. -G "Visual Studio 16 2019" -A x64 ^
          -DENABLE_ORT_BACKEND=ON ^
          -DENABLE_PADDLE_BACKEND=ON ^
          -DENABLE_OPENVINO_BACKEND=ON ^
          -DENABLE_VISION=ON ^
          -DENABLE_TEXT=ON ^
          -DWITH_CAPI=ON ^
          -DWITH_CSHARPAPI=ON ^
          -DCMAKE_INSTALL_PREFIX="D:\Paddle\compiled_fastdeploy"
 nuget restore #（please execute it when WITH_CSHARPAPI=ON to prepare dependencies in C#)
 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
 ```
 For more details about compiling the fastdeploy library, please refer to the documentation
 - [FastDeploy installation](../docs/cn/build_and_install/README.md)
 ## how to use
 Use the compiled C# dynamic library file fastdeploy_csharp.dll as a reference to use the corresponding API. For usage examples, please refer to the use cases under examples
 - [paddleclas](../examples/vision/classification/paddleclas/csharp/README.md)
 - [paddledetection](../examples/vision/detection/paddledetection/csharp/README.md)
 - [pp-ocrv2](../examples/vision/ocr/PP-OCRv2/csharp/README.md)
 - [paddleseg](../examples/vision/segmentation/paddleseg/cpu-gpu/csharp/README.md)
 ## Other documents
 - [How to add C# API to a new model](../docs/en/faq/develop_c_sharp_api_for_a_new_model.md)
 - [Vision Results](../docs/api/vision_results/README.md)
--- a/csharp/README_CN.md
+++ b/csharp/README_CN.md
@@ -0,0 +1,41 @@
 # C# API实现
 该目录下为FastDeploy C# SDK的接口实现，为用户需要C# API的场景提供解决方案。
 ## 如何编译安装
 在编译fastdeploy库的时候，打开编译选项 --WITH_CSHARPAPI=ON，即可开启对于该目录的编译。编译后的C#库安装后在csharp_lib目录下。例如在Windows下编译CPU版本的fastdeploy库并且加上C# API库可以使用如下命令
 ```shell
 git clone https://github.com/PaddlePaddle/FastDeploy.git
 cd FastDeploy
 mkdir build && cd build
 cmake .. -G "Visual Studio 16 2019" -A x64 ^
         -DENABLE_ORT_BACKEND=ON ^
         -DENABLE_PADDLE_BACKEND=ON ^
         -DENABLE_OPENVINO_BACKEND=ON ^
         -DENABLE_VISION=ON ^
         -DENABLE_TEXT=ON ^
         -DWITH_CAPI=ON ^
         -DWITH_CSHARPAPI=ON ^
         -DCMAKE_INSTALL_PREFIX="D:\Paddle\compiled_fastdeploy"
 nuget restore  #（please execute it when WITH_CSHARPAPI=ON to prepare dependencies in C#)
 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
 ```
 关于编译fastdeploy库的更多详情信息可以参考文档
 - [FastDeploy安装](../docs/cn/build_and_install/README.md)
 ## 如何使用
 将编译出来的C#动态库文件fastdeploy_csharp.dll作为引用即可以使用相应的API。关于使用示例可以参考examples下的用例
 - [paddleclas](../examples/vision/classification/paddleclas/csharp/README_CN.md)
 - [paddledetection](../examples/vision/detection/paddledetection/csharp/README_CN.md)
 - [pp-ocrv2](../examples/vision/ocr/PP-OCRv2/csharp/README_CN.md)
 - [paddleseg](../examples/vision/segmentation/paddleseg/cpu-gpu/csharp/README_CN.md)
 ## 其它文档
 - [如何给新模型增加C# API](../docs/cn/faq/develop_c_sharp_api_for_a_new_model.md)
 - [Vision Results](../docs/api/vision_results/README_CN.md)