Yolov8.Net
1.0.4
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Yolov8.Net --version 1.0.4
NuGet\Install-Package Yolov8.Net -Version 1.0.4
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.Net" Version="1.0.4" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Yolov8.Net --version 1.0.4
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Yolov8.Net, 1.0.4"
#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.Net as a Cake Addin #addin nuget:?package=Yolov8.Net&version=1.0.4 // Install Yolov8.Net as a Cake Tool #tool nuget:?package=Yolov8.Net&version=1.0.4
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Yolov8.Net
https://github.com/sstainba/Yolov8.Net
This is a .NET interface for using Yolov5 and Yolov8 models on the ONNX runtime. At the time this is published, the ONNX Runtime only supports up to Opset 15. If you are training a custom model, be sure to export the model to the ONNX format with the --Opset=15 flag.
// Create new Yolov8 predictor, specifying the model (in ONNX format)
// If you are using a custom trained model, you can provide an array of labels. Otherwise, the standard Coco labels are used.
using var yolo = new Yolov8("./assets/yolov8m.onnx");
// Provide an input image. Image will be resized to model input if needed.
using var image = Image.FromFile("Assets/rufus.jpg");
var predictions = yolo.Predict(image);
// Draw your boxes
using var graphics = Graphics.FromImage(image);
foreach (var pred in predictions)
{
var originalImageHeight = image.Height;
var originalImageWidth = image.Width;
var x = Math.Max(pred.Rectangle.X, 0);
var y = Math.Max(pred.Rectangle.Y, 0);
var width = Math.Min(originalImageWidth - x, pred.Rectangle.Width);
var height = Math.Min(originalImageHeight - y, pred.Rectangle.Height);
////////////////////////////////////////////////////////////////////////////////////////////
// *** Note that the output is already scaled to the original image height and width. ***
////////////////////////////////////////////////////////////////////////////////////////////
// Bounding Box Text
string text = $"{pred.Label.Name} [{pred.Score}]";
using (Graphics graphics = Graphics.FromImage(image))
{
graphics.CompositingQuality = CompositingQuality.HighQuality;
graphics.SmoothingMode = SmoothingMode.HighQuality;
graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
// Define Text Options
Font drawFont = new Font("consolas", 11, FontStyle.Regular);
SizeF size = graphics.MeasureString(text, drawFont);
SolidBrush fontBrush = new SolidBrush(Color.Black);
Point atPoint = new Point((int)x, (int)y - (int)size.Height - 1);
// Define BoundingBox options
Pen pen = new Pen(Color.Yellow, 2.0f);
SolidBrush colorBrush = new SolidBrush(Color.Yellow);
// Draw text on image
graphics.FillRectangle(colorBrush, (int)x, (int)(y - size.Height - 1), (int)size.Width, (int)size.Height);
graphics.DrawString(text, drawFont, fontBrush, atPoint);
// Draw bounding box on image
graphics.DrawRectangle(pen, x, y, width, height);
}
}
References
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net6.0 is compatible. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. 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.
-
net6.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.13.1)
- System.Drawing.Common (>= 7.0.0)
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.Net:
Repository | Stars |
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codeproject/CodeProject.AI-Server
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
|