mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-11-03 02:53:26 +08:00
@@ -17,11 +17,11 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy && git checkout develop
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mkdir build && cd build
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cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON
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cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON
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msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
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msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
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```
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编译后,FastDeploy CPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0`目录下
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编译后,FastDeploy CPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64`目录下
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## 编译GPU版本 C++ SDK
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@@ -32,7 +32,7 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy && git checkout develop
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mkdir build && cd build
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cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0 -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2"
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cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2"
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msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
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msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
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@@ -42,7 +42,7 @@ msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
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% (3) 若编译TensorRT后端,需要设置-DENABLE_TRT_BACKEND=ON,并指定TRT_DIRECTORY %
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% (4) 如-DTRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5 %
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```
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编译后,FastDeploy GPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0`目录下
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编译后,FastDeploy GPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu`目录下
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## 编译CPU版本 Python Wheel包
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@@ -62,7 +62,7 @@ C:\Python38\python.exe setup.py bdist_wheel
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```
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编译好的wheel文件在dist目录下,pip安装编译好的wheel包,命令如下
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```bat
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C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl
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C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.1-cp38-cp38-win_amd64.whl
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```
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## 编译GPU版本 Python Wheel包
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@@ -89,6 +89,6 @@ C:\Python38\python.exe setup.py bdist_wheel
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```
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编译好的wheel文件在dist目录下,pip安装编译好的wheel包,命令如下
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```bat
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C:\Python38\python.exe -m pip install dist\fastdeploy_gpu_python-0.2.0-cp38-cp38-win_amd64.whl
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C:\Python38\python.exe -m pip install dist\fastdeploy_gpu_python-0.2.1-cp38-cp38-win_amd64.whl
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```
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更多编译选项说明参考[编译指南](./README.md)
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@@ -18,7 +18,7 @@
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## 下载 FastDeploy Windows 10 C++ SDK
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可以从以下链接下载编译好的 FastDeploy Windows 10 C++ SDK,SDK中包含了examples代码。
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```text
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https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.0.zip
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https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.1.zip
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```
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## 准备模型文件和测试图片
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可以从以下链接下载模型文件和测试图片,并解压缩
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@@ -34,7 +34,7 @@ cd fastdeploy-win-x64-gpu-0.2.0\examples\vision\detection\paddledetection\cpp
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```
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```bat
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mkdir build && cd build
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cmake .. -G "Visual Studio 16 2019" -A x64 -DFASTDEPLOY_INSTALL_DIR=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0 -DCUDA_DIRECTORY="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.2"
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cmake .. -G "Visual Studio 16 2019" -A x64 -DFASTDEPLOY_INSTALL_DIR=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1 -DCUDA_DIRECTORY="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.2"
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```
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然后执行
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```bat
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@@ -44,7 +44,7 @@ msbuild infer_demo.sln /m:4 /p:Configuration=Release /p:Platform=x64
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#### 方式一:命令行设置环境变量
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编译好的exe保存在Release目录下,在运行demo前,需要将模型和测试图片拷贝至该目录。另外,需要在终端指定DLL的搜索路径。请在build目录下执行以下命令。
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```bat
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set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0
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set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1
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set PATH=%FASTDEPLOY_PATH%\lib;%FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib;%FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\paddle\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mkldnn\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mklml\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle2onnx\lib;%FASTDEPLOY_PATH%\third_libs\install\tensorrt\lib;%FASTDEPLOY_PATH%\third_libs\install\yaml-cpp\lib;%PATH%
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```
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注意,需要拷贝onnxruntime.dll到exe所在的目录。
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@@ -59,7 +59,7 @@ C:\Windows\System32\onnxruntime.dll # windows自带的onnxruntime.dll
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#### 方式二:拷贝依赖库到exe的目录下
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手动拷贝,或者在build目录下执行以下命令:
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```bat
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set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0
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set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1
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copy /Y %FASTDEPLOY_PATH%\lib\*.dll Release\
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copy /Y %FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib\*.dll Release\
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copy /Y %FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin\*.dll Release\
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