onnxruntime下推理yolo实在是太麻烦，代码量也大，最近发现yolosharp真的很好用

这是代码推理效果

using Compunet.YoloSharp;
using Compunet.YoloSharp.Plotting;
using SixLabors.ImageSharp;

// Load the YOLO predictor
using var predictor = new YoloPredictor("Desktop/yolo26n.onnx");

// Load the target image
using var image = Image.Load("Desktop/111.png");

// Run model
var result = await predictor.DetectAsync(image); //这里可以修改 pose 和segment用于分割和关键点检测

// Create plotted image from model results
using var plotted = await result.PlotImageAsync(image);

// Write the plotted image to file
plotted.Save("Desktop/112.jpg");

Console.WriteLine(result);