High quality .NET wrapper for OpenVINO™ toolkit.

Please check my cnblogs blog for more details:

• 博客园 20231015-sdcb-openvino-net
• PaddleOCR tutoria video:
  • How to use, run offline, GPU inference, performance tuning:
    • bilibili: https://www.bilibili.com/video/BV1bM411f74Z
    • youtube: https://www.youtube.com/watch?v=gG4iYgSbEXo
  • Deploy on different Linux platforms including OrangePI-4 LTS:
    • bilibili: https://www.bilibili.com/video/BV1R64y1L7Sv

Packages

Main packages

Package	Version	Description
Sdcb.OpenVINO	0.7.1	.NET PInvoke interface
Sdcb.OpenVINO.Extensions.OpenCvSharp4	0.7.0	OpenVINO OpenCvSharp4 extensions
Sdcb.OpenVINO.PaddleOCR	0.8.0	OpenVINO Paddle OCR Toolkit
Sdcb.OpenVINO.PaddleOCR.Models.Online	0.8.0	Online Models for OpenVINO Paddle OCR

Platform shared runtime packages

Current Sdcb.OpenVINO native runtime packages target OpenVINO 2026.2.0 only. On Linux/macOS, the loader only resolves the 2620 native library suffix, such as libopenvino_c.so.2620 and libopenvino_c.2620.dylib.

Package	Version	Description
Sdcb.OpenVINO.runtime.android-x64	2026.2.0	Runtime for Android x64
Sdcb.OpenVINO.runtime.centos.8-x64	2026.2.0	Runtime for CentOS 8 x64
Sdcb.OpenVINO.runtime.linux-arm	2026.2.0	Runtime for Debian 9+ ARM
Sdcb.OpenVINO.runtime.osx.12.6-arm64	2026.2.0	Runtime for macOS 12.6 ARM64
Sdcb.OpenVINO.runtime.rhel.8-x64	2026.2.0	Runtime for RHEL 8 x64
Sdcb.OpenVINO.runtime.ubuntu.22.04-arm64	2026.2.0	Runtime for Ubuntu 22.04 ARM64
Sdcb.OpenVINO.runtime.ubuntu.22.04-x64	2026.2.0	Runtime for Ubuntu 22.04 x64
Sdcb.OpenVINO.runtime.ubuntu.24.04-x64	2026.2.0	Runtime for Ubuntu 24.04 x64
Sdcb.OpenVINO.runtime.win-mt-x64	2026.2.0	Runtime for Windows x64 with VC MT runtime
Sdcb.OpenVINO.runtime.win-x64	2026.2.0	Runtime for Windows x64

Infer examples:

Install packages:

• Sdcb.OpenVINO
• A matching Sdcb.OpenVINO.runtime.* package from the table above
• Optional: Sdcb.OpenVINO.Extensions.OpenCvSharp4, OpenCvSharp4, and a matching OpenCvSharp4 runtime package if you need OpenCvSharp integration

For Windows x64, install either Sdcb.OpenVINO.runtime.win-x64 or Sdcb.OpenVINO.runtime.win-mt-x64.

Yolov8 models inference example:

• Yolov8 detection model
• Yolov8 classification model

Face detection example:

Please refer to this project

PaddleOCR example:

Please refer to this project

Projects

Sdcb.OpenVINO.PaddleOCR

Packages

Package	Version	Description
Sdcb.OpenVINO.PaddleOCR	0.8.0	OpenVINO Paddle OCR Toolkit
Sdcb.OpenVINO.PaddleOCR.Models.Online	0.8.0	Online Models for OpenVINO Paddle OCR

Usage

You can refer to this github for mini-openvino-paddleocr demo: https://github.com/sdcb/mini-openvino-paddleocr

Actually it's very similar to my another project PaddleSharp

PP-OCRv6 ONNX online models

Sdcb.OpenVINO.PaddleOCR.Models.Online provides PP-OCRv6 Chinese ONNX model presets:

Model	Detection	Recognition	Text line 180-degree classifier	Document orientation classifier
OnlineFullModels.ChineseV6Medium	PP-OCRv6_medium_det_onnx_infer	PP-OCRv6_medium_rec_onnx_infer	PP-LCNet_x1_0_textline_ori_onnx_infer	PP-LCNet_x1_0_doc_ori_onnx_infer
OnlineFullModels.ChineseV6Small	PP-OCRv6_small_det_onnx_infer	PP-OCRv6_small_rec_onnx_infer	PP-LCNet_x0_25_textline_ori_onnx_infer	PP-LCNet_x1_0_doc_ori_onnx_infer
OnlineFullModels.ChineseV6Tiny	PP-OCRv6_tiny_det_onnx_infer	PP-OCRv6_tiny_rec_onnx_infer	PP-LCNet_x0_25_textline_ori_onnx_infer	PP-LCNet_x1_0_doc_ori_onnx_infer

using OpenCvSharp;
using Sdcb.OpenVINO;
using Sdcb.OpenVINO.PaddleOCR;
using Sdcb.OpenVINO.PaddleOCR.Models;
using Sdcb.OpenVINO.PaddleOCR.Models.Online;

FullOcrModel model = await OnlineFullModels.ChineseV6Small.DownloadAsync();

using PaddleOcrAll ocr = new(model, new PaddleOcrOptions(new DeviceOptions("CPU")))
{
    AllowRotateDetection = true,
    Enable180Classification = true,

    // Disabled by default. Enable it only when the input may be a full page
    // rotated by 0, 90, 180 or 270 degrees.
    EnableDocumentOrientationClassification = true,
};

using Mat src = Cv2.ImRead("test.jpg");
PaddleOcrResult result = ocr.Run(src);
Console.WriteLine(result.Text);

Notes:

• PP-OCRv6 recognition labels are loaded from the downloaded model inference.yml.
• PP-OCRv6 detection uses the official DB postprocess defaults: BoxThreshold = 0.2, BoxScoreThreahold = 0.45, UnclipRatio = 1.4. These properties can still be overwritten after constructing PaddleOcrDetector.
• Full-document orientation classification is not enabled by default, even when the selected OnlineFullModels preset includes the document orientation model.

The detector, text line classifier, recognizer, and document orientation classifier can also be used independently:

using OpenCvSharp;
using Sdcb.OpenVINO;
using Sdcb.OpenVINO.PaddleOCR;
using Sdcb.OpenVINO.PaddleOCR.Models.Online;

using Mat src = Cv2.ImRead("document.jpg");

using PaddleOcrDocumentOrientationClassifier docOrientation = new(
    await OnlineDocumentOrientationClassificationModel.PPDocOrientationX10.DownloadAsync(),
    new DeviceOptions("CPU"));
PaddleOcrDocumentOrientationResult orientation = docOrientation.Run(src);
using Mat upright = orientation.RotateToUpright(src);

using PaddleOcrClassifier textLineOrientation = new(
    await OnlineOnnxClassificationModel.TextLineOrientationX025.DownloadAsync(),
    new DeviceOptions("CPU"));
Ocr180DegreeClsResult lineResult = textLineOrientation.ShouldRotate180(upright);

LICENSE

Apache