C#调用opencvsharp及yolov3训练文件进行目标检测

using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Threading;
using System.IO;
using OpenCvSharp;
using OpenCvSharp.Dnn;
using OpenCvSharp.Extensions;

namespace yolov4_detect
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
        private Mat imagein;
        private Mat imageout;
        private void Form1_Load(object sender, EventArgs e)
        {
            imagein = new Mat();
            imageout = new Mat();          
        }
        private void button1_Click(object sender, EventArgs e)
        {
            imagein = Cv2.ImRead(@"yolov3/1.bmp");
            imageout = yolov3_model(imagein);
            pictureBox1.Image = imageout.ToBitmap();
        }

        static string Cfg = "yolov3.cfg";
        static string Weight = "yolov3.weights";
        static string Names = "coco.names";
        static string Location1 = "../../bin/Debug/yolov3/";
        string[] Labels = File.ReadAllLines(Path.Combine(Location1, Names)).ToArray();
        Scalar[] Colors = Enumerable.Repeat(false, 80).Select(x => Scalar.RandomColor()).ToArray();
        private Mat yolov3_model(Mat imgSrc)
        {

https://download.csdn.net/download/Acsen_1/12723356  点击链接获源码

        }
        private Mat GetResult(IEnumerable output, Mat image, float threshold, float nmsThreshold, bool nms = true)
        {

https://download.csdn.net/download/Acsen_1/12723356    点击链接获源码

}
        private void Draw(Mat image, int classes, float confidence, float probability, double centerX, double centerY, double width, double height)
        {

https://download.csdn.net/download/Acsen_1/12723356  点击链接获源码

}

    }
}

https://download.csdn.net/download/Acsen_1/12723356  点击链接获源码