c#调用yolov8目标检测

你可以使用C#来调用Yolov8目标检测模型。以下是一个简单的示例代码：

using System;
using System.IO;
using System.Linq;
using Microsoft.ML;
using Microsoft.ML.Data;

// 定义输入数据的结构
public class ImageData
{
    [LoadColumn(0)]
    public string ImagePath;

    [LoadColumn(1)]
    public string Label;
}

// 定义输出数据的结构
public class ObjectPrediction
{
    [ColumnName("grid")]
    public float[] PredictedLabels;
}

class Program
{
    static void Main(string[] args)
    {
        // 加载模型
        var mlContext = new MLContext();
        var model = mlContext.Model.Load("path_to_yolov8_model");

        // 创建预测管道
        var pipeline = mlContext.Transforms.LoadImages(outputColumnName: "input", imageFolder: "", inputColumnName: nameof(ImageData.ImagePath))
            .Append(mlContext.Transforms.ResizeImages(outputColumnName: "input", imageWidth: 416, imageHeight: 416, inputColumnName: "input"))
            .Append(mlContext.Transforms.ExtractPixels(outputColumnName: "input"))
            .Append(mlContext.Transforms.ApplyOnnxModel(modelFile: model, outputColumnNames: new[] { "grid" }, inputColumnNames: new[] { "input" }))
            .Append(mlContext.Transforms.Conversion.MapKeyToValue(outputColumnName: "PredictedLabel", inputColumnName: "grid", keyDataView: null));

        // 创建预测引擎