[C#]C#使用Emgu.CV4.8.0部署yolov7-darknet模型

using Emgu.CV;
using Emgu.CV.Structure;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;


namespace FIRC
{
    public partial class Form1 : Form
    {
        DarknetYOLO detector;

        public Form1()
        {
            InitializeComponent();
        }

        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = "(图片文件)*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png"; ;
            if (ofd.ShowDialog() == DialogResult.OK)
            {
                var frame = new Bitmap(ofd.FileName).ToImage<Bgr, byte>();
                List<YoloPrediction> results = detector.Predict(frame, 416, 416);//预热
                var result_img = detector.DrawImage(frame,results);
                pictureBox1.Image = result_img.ToBitmap();
            }
        }
      
    

        private void Form1_Load(object sender, EventArgs e)
        {
            var labels = Application.StartupPath + "\\weights\\coco.names";
            var weights = Application.StartupPath + "\\weights\\yolov7-tiny.weights";
            var cfg = Application.StartupPath + "\\weights\\yolov7-tiny.cfg";
            detector = new DarknetYOLO(labels, weights, cfg, PreferredBackend.OpenCV, PreferredTarget.Cpu);
            detector.NMSThreshold = 0.4f;
            detector.ConfidenceThreshold = 0.5f;
        }
    }
}