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; using OpenCvSharp;
namespace opencv人脸检测 { public partial class Form1 : Form { public Form1() { InitializeComponent(); }
private void Button1_Click(object sender, EventArgs e) { string xmlFileName= Application.StartupPath+"\\haarcascade_frontalface_alt.xml";//这个可以在Github下载 string imageFileName= Application.StartupPath + "\\tt.jpg"; OpenCvSharp.CascadeClassifier cascadeClassifier = new CascadeClassifier(xmlFileName); Mat image = Cv2.ImRead(imageFileName); Rect[] rect= cascadeClassifier.DetectMultiScale(image); pictureBox1.Image = DrawRect(imageFileName,rect); }
public Bitmap DrawRect(string imageFileName,Rect[] rect) { Bitmap bmp = new Bitmap(imageFileName); Graphics g = Graphics.FromImage(bmp); for(int i=0;i<rect.Length;i++) { g.DrawRectangle(new Pen(Color.Red,3),rect[i].Left,rect[i].Top,rect[i].Width,rect[i].Height); } g.Dispose(); return bmp; } } }
结果: