PaddleSharp 🌟

💗 .NET Wrapper for PaddleInference C API, support Windows(x64) 💻, NVIDIA Cuda 11.8+ based GPU 🎮 and Linux(Ubuntu-22.04 x64) 🐧, currently contained following main components:

• PaddleOCR 📖 support 14 OCR languages model download on-demand, allow rotated text angle detection, 180 degree text detection, also support table recognition 📊.
• PaddleDetection 🎯 support PPYolo detection model and PicoDet model 🏹.
• RotationDetection 🔄 use Baidu's official text_image_orientation_infer model to detect text picture's rotation angle(0, 90, 180, 270).
• PaddleNLP ChineseSegmenter 📚 support PaddleNLP Lac Chinese segmenter model, supports tagging/customized words.
• Paddle2Onnx 🔄 Allow user export ONNX model using C#.

NuGet Packages/Docker Images 📦

Release notes 📝

Please checkout this page 📄.

Infrastructure packages 🏗️

NuGet Package 💼	Version 📌	Description 📚
Sdcb.PaddleInference		Paddle Inference C API .NET binding ⚙️

Native Packages 🏗️

Package	Version 📌	Description
Sdcb.PaddleInference.runtime.win64.mkl		Recommended for most users (CPU, MKL)
Sdcb.PaddleInference.runtime.win64.openblas		CPU, OpenBLAS
Sdcb.PaddleInference.runtime.win64.openblas-noavx		CPU, no AVX, for old CPUs
Sdcb.PaddleInference.runtime.win64.cu118_cudnn89_sm61		CUDA 11.8, GTX 10 Series
Sdcb.PaddleInference.runtime.win64.cu118_cudnn89_sm75		CUDA 11.8, RTX 20/GTX 16xx Series
Sdcb.PaddleInference.runtime.win64.cu118_cudnn89_sm86		CUDA 11.8, RTX 30 Series
Sdcb.PaddleInference.runtime.win64.cu118_cudnn89_sm89		CUDA 11.8, RTX 40 Series
Sdcb.PaddleInference.runtime.win64.cu126_cudnn95_sm61

Package Selection Guide:

• We recommend Sdcb.PaddleInference.runtime.win64.mkl for most users. It offers the best balance between performance and package size. Please note that this package does not support GPU acceleration, making it suitable for most general scenarios.
• openblas-noavx is tailored for older CPUs that do not support the AVX2 instruction set.
• The remaining packages cover various CUDA combinations (GPU acceleration), supporting three CUDA versions:
  • CUDA 11.8: Supports 10–40 series NVIDIA GPUs
  • CUDA 12.6: Supports 10–40 series NVIDIA GPUs
  • CUDA 12.9: Supports 10–50 series NVIDIA GPUs

Important:
Not all GPU packages are suitable for every card. Please refer to the following GPU-to-sm suffix mapping:

sm Suffix	Supported GPU Series
sm61	GTX 10 Series
sm75	RTX 20 Series (and GTX 16xx series such as GTX 1660)
sm86	RTX 30 Series
sm89	RTX 40 Series
sm120	RTX 50 Series (supported by CUDA 12.9 only)

Any other packages that starts with Sdcb.PaddleInference.runtime might deprecated.

All packages were compiled manually by me, with some code patches from here: https://github.com/sdcb/PaddleSharp/blob/master/build/capi.patch

Paddle Devices

• Mkldnn - PaddleDevice.Mkldnn()

  Based on Mkldnn, generally fast

• Openblas - PaddleDevice.Openblas()

  Based on openblas, slower, but dependencies file smaller and consume lesser memory

• Onnx - PaddleDevice.Onnx()

  Based on onnxruntime, is also pretty fast and consume less memory

• Gpu - PaddleDevice.Gpu()

  Much faster but relies on NVIDIA GPU and CUDA

  If you wants to use GPU, you should refer to FAQ How to enable GPU? section, CUDA/cuDNN/TensorRT need to be installed manually.

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 fail with the following error (Windows only):

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

   If it's Unable to load DLL OpenCvSharpExtern.dll or one of its dependencies, then most likely the Media Foundation is not installed in the Windows Server 2012 R2 machine:

2. Many old CPUs do not support AVX instructions, please ensure your CPU supports AVX, or download the x64-noavx-openblas DLLs and disable Mkldnn: PaddleDevice.Openblas() 🚀

3. If you're using Win7-x64, and your CPU does support AVX2, then you might also need to extract the following 3 DLLs into C:\Windows\System32 folder to make it run: 💾

   • api-ms-win-core-libraryloader-l1-2-0.dll
   • api-ms