YoloV8.Gpu
1.4.0
There is a newer version of this package available.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.Gpu --version 1.4.0
NuGet\Install-Package YoloV8.Gpu -Version 1.4.0
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="YoloV8.Gpu" Version="1.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add YoloV8.Gpu --version 1.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: YoloV8.Gpu, 1.4.0"
#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 YoloV8.Gpu as a Cake Addin
#addin nuget:?package=YoloV8.Gpu&version=1.4.0
// Install YoloV8.Gpu as a Cake Tool
#tool nuget:?package=YoloV8.Gpu&version=1.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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')
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:
Pose:
Segmentation:
License
MIT License
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 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.
-
net6.0
- Microsoft.ML.OnnxRuntime.Gpu (>= 1.15.1)
- SixLabors.ImageSharp (>= 3.0.2)
- SixLabors.ImageSharp.Drawing (>= 1.0.0)
-
net7.0
- Microsoft.ML.OnnxRuntime.Gpu (>= 1.15.1)
- SixLabors.ImageSharp (>= 3.0.2)
- SixLabors.ImageSharp.Drawing (>= 1.0.0)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.