Yolov5Net 1.1.0

.NET 6.0
dotnet add package Yolov5Net --version 1.1.0
NuGet\Install-Package Yolov5Net -Version 1.1.0
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="Yolov5Net" Version="1.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Yolov5Net --version 1.1.0
#r "nuget: Yolov5Net, 1.1.0"
#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 Yolov5Net as a Cake Addin
#addin nuget:?package=Yolov5Net&version=1.1.0

// Install Yolov5Net as a Cake Tool
#tool nuget:?package=Yolov5Net&version=1.1.0

Yolov5Net

YOLOv5 object detection with ML.NET, ONNX

example

Installation

Run this line from Package Manager Console:

Install-Package Yolov5Net -Version 1.1.0

For CPU usage run this line from Package Manager Console:

Install-Package Microsoft.ML.OnnxRuntime -Version 1.14.1

For GPU usage run this line from Package Manager Console:

Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.14.1

CPU and GPU packages can't be installed together.

Usage

Yolov5Net contains two COCO pre-defined models: YoloCocoP5Model, YoloCocoP6Model.

If you have custom trained model, then inherit from YoloModel and override all the required properties and methods. See YoloCocoP5Model or YoloCocoP6Model implementation to get know how to wrap your own model.

using var image = await Image.LoadAsync<Rgba32>("Assets/test.jpg");
{
    using var scorer = new YoloScorer<YoloCocoP5Model>("Assets/Weights/yolov5n.onnx");
    {
        var predictions = scorer.Predict(image);

        var font = new Font(new FontCollection().Add("C:/Windows/Fonts/consola.ttf"), 16);

        foreach (var prediction in predictions) // draw predictions
        {
            var score = Math.Round(prediction.Score, 2);

            var (x, y) = (prediction.Rectangle.Left - 3, prediction.Rectangle.Top - 23);

            image.Mutate(a => a.DrawPolygon(new Pen(prediction.Label.Color, 1),
                new PointF(prediction.Rectangle.Left, prediction.Rectangle.Top),
                new PointF(prediction.Rectangle.Right, prediction.Rectangle.Top),
                new PointF(prediction.Rectangle.Right, prediction.Rectangle.Bottom),
                new PointF(prediction.Rectangle.Left, prediction.Rectangle.Bottom)
            ));

            image.Mutate(a => a.DrawText($"{prediction.Label.Name} ({score})",
                font, prediction.Label.Color, new PointF(x, y)));
        }

        await image.SaveAsync("Assets/result.jpg");
    }
}
Product Versions
.NET net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.1.0 112 3/23/2023
1.0.9 4,226 10/26/2021
1.0.8 214 10/26/2021
1.0.7 320 10/8/2021
1.0.6 234 10/5/2021
1.0.5 240 10/5/2021
1.0.4 309 9/9/2021
1.0.3 229 8/24/2021
1.0.2 279 8/17/2021
1.0.1 259 8/16/2021
1.0.0 298 8/16/2021