YoloV8 1.0.1

.NET 7.0 This package targets .NET 7.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package YoloV8 --version 1.0.1                

                    
                

            
NuGet\Install-Package YoloV8 -Version 1.0.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="YoloV8" Version="1.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add YoloV8 --version 1.0.1                

                    
                

            
#r "nuget: YoloV8, 1.0.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install YoloV8 as a Cake Addin
#addin nuget:?package=YoloV8&version=1.0.1

// Install YoloV8 as a Cake Tool
#tool nuget:?package=YoloV8&version=1.0.1

YOLOv8

Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime

Use

Export from PyTorch

Run the following Python code to export the model to ONNX format:

from ultralytics import YOLO

# Load a model
model = YOLO('path/to/model')

# export the model to ONNX format
model.export(format='onnx', opset=15)
Note: Pay attention to specify opset=15 because the ONNX Runtime currently only supports up to Opset 15.

Use in C# with ONNX Runtime

using var predictor = new YoloV8(model);

var result = predictor.Detect("path/to/image");

Console.WriteLine(result);

Plotting

You can use the following code to predict and plot a image, and save to file:

var image = "path/to/image";

using var predictor = new YoloV8("path/to/model");

var result = predictor.Pose(image);

using var origin = Image.Load<Rgb24>(image);
using var ploted = result.PlotImage(origin);


ploted.Save("./pose_demo.jpg")

Examples:

Detection:

detect_demo!

Pose:

pose_demo!

Segmentation:

seg_demo!

License

MIT License

Product Compatible and additional computed target framework versions.
.NET net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on YoloV8:

Repository Stars
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集 - UI Automation Testing Tools For Genshin Impact
Version Downloads Last updated
5.3.0 246 10/30/2024 5.3.0 is deprecated because it is no longer maintained.
5.2.0 374 10/16/2024
5.1.1 134 10/15/2024
5.1.0 390 10/8/2024
5.0.4 267 9/29/2024
5.0.3 131 9/26/2024
5.0.2 177 9/24/2024
5.0.1 911 9/15/2024
5.0.0 143 9/15/2024
4.2.0 739 8/23/2024
4.1.7 2,585 6/27/2024
4.1.6 583 6/10/2024
4.1.5 1,468 4/14/2024
4.1.4 156 4/14/2024
4.0.0 1,211 3/6/2024
3.1.1 580 2/4/2024
3.1.0 205 1/29/2024
3.0.0 1,577 11/27/2023
2.0.1 2,051 10/10/2023
2.0.0 376 9/27/2023
1.6.0 406 9/21/2023
1.5.0 356 9/15/2023
1.4.0 346 9/8/2023
1.3.0 1,458 8/29/2023
1.2.0 249 8/21/2023
1.0.1 228 8/16/2023
1.0.0 452 7/23/2023