[C#]OpenCvSharp实现Yolov8 Face Landmarks 人脸关键点检测

介绍：

github地址：https://github.com/derronqi/yolov8-face

效果：

项目：

 

代码：

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using OpenCvSharp;

namespace FIRC
{
    public partial class Form1 : Form
    {
        Mat src = new Mat();
        FaceDetector fd = new FaceDetector();

        public Form1()
        {
            InitializeComponent();
        }

        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog openFileDialog = new OpenFileDialog();
            openFileDialog.Filter = "图文件(*.*)|*.jpg;*.png;*.jpeg;*.bmp";
            openFileDialog.RestoreDirectory = true;
            openFileDialog.Multiselect = false;
            if (openFileDialog.ShowDialog() == DialogResult.OK)
            {
              
                src = Cv2.ImRead(openFileDialog.FileName);
                pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(src);


            }


        }

        private void button2_Click(object sender, EventArgs e)
        {
            if(pictureBox1.Image==null)
            {
                return;
            }
            var results = fd.Inference(src);

            var resultMat = fd.DrawImage(src,results);
            pictureBox2.Image= OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat); //Mat转Bitmap
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            fd.LoadWeights(Application.StartupPath+"\\weights\\yolov8n-face.onnx");
        }

        private void btn_video_Click(object sender, EventArgs e)
        {

        }
    }
}

测试环境：

vs2019

net framework4.7.2

opencvsharp4.8

 视频演示：

源码下载：