PaddleSharp

💗.NET Wrapper for PaddleInference C API, include PaddleOCR, PaddleDetection, support Windows(x64), NVIDIA GPU and Linux(Ubuntu-20.04 x64).

PaddleOCR support 14 OCR languages model download on-demand, allow rotated text angle detection, 180 degree text detection.

PaddleDetection support PPYolo detection model and PicoDet model.

NuGet Packages/Docker Images

NuGet Package	Version	Description
Sdcb.PaddleInference		Paddle Inference C API .NET binding
Sdcb.PaddleInference.runtime.win64.openblas		Paddle Inference native windows-x64-openblas binding
Sdcb.PaddleInference.runtime.win64.mkl		Paddle Inference native windows-x64-mkldnn binding
Sdcb.PaddleInference.runtime.win64.cuda10_cudnn7		Paddle Inference native windows-x64(CUDA 10/cuDNN 7.x) binding
Sdcb.PaddleInference.runtime.win64.cuda11_cudnn8_tr7		Paddle Inference native windows-x64(CUDA 11/cuDNN 8.0/TensorRT 7) binding
Sdcb.PaddleOCR		PaddleOCR library(based on Sdcb.PaddleInference)
Sdcb.PaddleOCR.KnownModels		Helper to download PaddleOCR models
Sdcb.PaddleDetection		PaddleDetection library(based on Sdcb.PaddleInference)

Note: Linux does not need a native binding NuGet package like windows(Sdcb.PaddleInference.runtime.win64.mkl), instead, you can/should based from a Dockerfile to development:

Docker Images	Version	Description
sdflysha/dotnet6-focal-paddle2.2.2		PaddleInference 2.2.2, OpenCV 4.5.5, based on official Ubuntu 20.04 .NET 6 Runtime
sdflysha/dotnet6sdk-focal-paddle2.2.2		PaddleInference 2.2.2, OpenCV 4.5.5, based on official Ubuntu 20.04 .NET 6 SDK

Usage

• PaddleOCR: PaddleOCR
• PaddleDetection: PaddleDetection

FAQ

Why my code runs good in my windows machine, but DllNotFoundException in other machine:

1. Please ensure the latest Visual C++ Redistributable was installed in Windows(typically it should automatically installed if you have Visual Studio installed) Otherwise, it will failed with following error(Windows only):

   DllNotFoundException: Unable to load DLL 'paddle_inference_c' or one of its dependencies (0x8007007E)
   

2. Many old CPUs does not support AVX instructions, please ensure your CPU supports AVX, or download the x64-noavx-openblas dlls and disable Mkldnn: PaddleConfig.Defaults.UseMkldnn = false;

How to enable GPU?

Enable GPU support can significantly improve the throughput and lower the CPU usage.

Steps to use GPU in windows:

1. (for windows) Install the package: Sdcb.PaddleInference.runtime.win64.cuda11_cudnn8_tr7 instead of Sdcb.PaddleInference.runtime.win64.mkl, do not install both.
2. Install CUDA from NVIDIA, and configure environment variables to PATH or LD_LIBRARY_PATH(linux)
3. Install cuDNN from NVIDIA, and configure environment variables to PATH or LD_LIBRARY_PATH(linux)
4. Install TensorRT from NVIDIA, and configure environment variables to PATH or LD_LIBRARY_PATH(linux)

You can refer this blog page for GPU in Windows: 关于PaddleSharp GPU使用 常见问题记录

If you're using Linux, you need to compile your own OpenCvSharp4 environment following the docker build scripts follow the CUDA/cuDNN/TensorRT configuration tasks.

After these steps completed, you can try specify PaddleConfig.Defaults.UseGpu = true in begin of your code and then enjoy😁.

Thanks & Sponsors

• 深圳-钱文松
• iNeuOS工业互联网操作系统：http://www.ineuos.net

Contact

QQ group of C#/.NET computer vision technical communicate(C#/.NET计算机视觉技术交流群): 579060605