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Use FastDeploy C++ SDK on Windows

Using the FastDeploy C++ SDK on Windows is slightly different from using it on Linux. Below is an example of PPYOLOE for accelerated deployment on CPU/GPU, and GPU with TensorRT.

Two steps before deployment:

    1. The hardware and software environment meets the requirements. Please refer to FastDeploy Environment Requirements for more details.
    1. Download the pre-built deployment SDK and samples code according to the development environment. For more details, please refer to install_cpp_sdk

Dependencies

  • cmake >= 3.12
  • Visual Studio 16 2019
  • cuda >= 11.2 (WITH_GPU=ON)
  • cudnn >= 8.0 (WITH_GPU=ON)
  • TensorRT >= 8.4 (ENABLE_TRT_BACKEND=ON)

Download FastDeploy Windows 10 C++ SDK

Download a compiled FastDeploy Windows 10 C++ SDK from the link below. It contains the examples code.

https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.0.zip

Prepare model files and test images

Download the model file and test images from the following link and unzip them

https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz # (Unzip after download)
https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg

Compile PPYOLOE on Windows

Open thex64 Native Tools Command Prompt for VS 2019command tool on the Windows menu, and direct it to ppyoloe‘s demo path

cd fastdeploy-win-x64-gpu-0.2.0\examples\vision\detection\paddledetection\cpp

mkdir build && cd build
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"

Run the following command:

msbuild infer_demo.sln /m:4 /p:Configuration=Release /p:Platform=x64

Configure dependency library path

Method 1: Set environment variables on the command line

The compiled exe file is stored in the Release directory. Before running the demo, the model and test images need to be copied to this directory. Also, users need to designate the search path for the DLL in the terminal. Please execute the following command in the build directory.

set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0
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%

Note: Copy onnxruntime.dll to the directory of the exe.

copy /Y %FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib\onnxruntime* Release\

As the latest Windows version contains onnxruntime.dll in the System32 system directory, there will still be a loading conflict for onnxruntime even if the PATH is set. To solve this problem, copy the onnxruntime.dll used in the demo to the directory of exe. Example is as follows:

where onnxruntime.dll
C:\Windows\System32\onnxruntime.dll  # windows自带的onnxruntime.dll

Method 2: Copy dependencies library to exe directory

Copy manually, or execute the following command in the build directory.

set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0
copy /Y %FASTDEPLOY_PATH%\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\paddle_inference\paddle\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mkldnn\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mklml\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\paddle2onnx\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\tensorrt\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\yaml-cpp\lib\*.dll Release\

Run the demo

cd Release
infer_ppyoloe_demo.exe ppyoloe_crn_l_300e_coco 000000014439.jpg 0  # CPU
infer_ppyoloe_demo.exe ppyoloe_crn_l_300e_coco 000000014439.jpg 1  # GPU
infer_ppyoloe_demo.exe ppyoloe_crn_l_300e_coco 000000014439.jpg 2  # GPU + TensorRT