简体中文 | English
| Model | Description | Link |
|---|---|---|
| Yolov5-det | Deploying the Yolov5-det model using OpenVINO™ C# API for object detection | yolov5_det_opencvsharp |
| Yolov6-det | Deploying the Yolov6-det model using OpenVINO™ C# API for object detection | yolov6_det_opencvsharp |
| Yolov7-det | Deploying the Yolov7-det model using OpenVINO™ C# API for object detection | yolov7_det_opencvsharp |
| Yolov8-det | Deploying the Yolov8-det model using OpenVINO™ C# API for object detection | yolov8_det_opencvsharp |
| Yolov8-obb | Deploying the Yolov8-obb model using **OpenVINO™ C# API **for rotation object detection | yolov8_obb_opencvsharp |
| RT-DETR | Deploying the RT-DETR model using OpenVINO™ C# API for object detection | rt-detr_opencvsharp |
| PP-YOLOE | Deploying the PP-YOLOE model using **OpenVINO™ C# API **for object detection | ppyoloe_opencvsharp |
| PP-YOLOE-R | Deploying the PP-YOLOE-R model using OpenVINO™ C# API for rotation object detection | ppyoloe_r_opencvsharp |
| BlazeFace | Deploying BlazeFace model using OpenVINO™ C# API for face detection | blazeface_opencvsharp |
| Model | Description | Link |
|---|---|---|
| Yolov5-det | Deploying the Yolov5-det model using **OpenVINO™ C# API **for object detection | yolov5_det_emgucv |
| Yolov6-det | Deploying the Yolov6-det model using OpenVINO™ C# API for object detection | yolov6_det_emgucv |
| Yolov7-det | Deploying the Yolov7-det model using OpenVINO™ C# API for object detection | yolov7_det_emgucv |
| Yolov8-det | Deploying the Yolov8-det model using OpenVINO™ C# API for object detection | yolov8_det_emgucv |
| Yolov8-obb | Deploying the Yolov8-obb model using OpenVINO™ C# API for rotation object detection | yolov8_obb_emgucv |
| RT-DETR | Deploying the RT-DETR model using **OpenVINO™ C# API **for object detection | rt-detr_emgucv |
| PP-YOLOE | Deploying the PP-YOLOE-R model using **OpenVINO™ C# API **for object detection | ppyoloe_emgucv |
| PP-YOLOE-R | Deploying the PP-YOLOE-R model using **OpenVINO™ C# API **for rotation object detection | |
| BlazeFace | Deploying BlazeFace model using OpenVINO™ C# API for face detection | blazeface_emgucv |
dotnet add package OpenVINO.CSharp.API
OpenVINO.runtime requires users to install according to their own platform, simply select the following command based on their running platform to install it:
dotnet add package OpenVINO.runtime.win
dotnet add package OpenVINO.runtime.macos-x86_64
dotnet add package OpenVINO.runtime.macos-arm64
dotnet add package OpenVINO.runtime.ubuntu.22-x86_64
dotnet add package OpenVINO.runtime.ubuntu.20-x86_64
dotnet add package OpenVINO.runtime.ubuntu.18-x86_64
dotnet add package OpenVINO.runtime.ubuntu.18-arm64
dotnet add package OpenVINO.runtime.debian9-armhf
dotnet add package OpenVINO.runtime.debian9-arm64
dotnet add package OpenVINO.runtime.centos7-x86_64
dotnet add package OpenVINO.runtime.rhel8-x86_64
The extension assembly mainly encapsulates APIs with some extension functions, and users can install them according to their own choices; The currently provided project has already used extension interfaces, so if you run the case project, you need to install the OpenVINO C# API extension assembly:
dotnet add package OpenVINO.CSharp.API.Extensions
The next step is to selectively install according to the image processing library you are using. If you are using OpenCvSharp for image data processing, enter the following command to install it OpenVINO.CSharp.API.Extensions.OpenCvSharp：
dotnet add package OpenVINO.CSharp.API.Extensions.OpenCvSharp
If you are using Emgu.CV for image data processing, enter the following command to install it OpenVINO.CSharp.API.Extensions.EmguCV：
dotnet add package OpenVINO.CSharp.API.Extensions.EmguCV