FaceRcognizer/FaceRecognizer/MainForm.cs

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 System.IO;

using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
using Emgu.CV.UI;
using Emgu.Util;
using Emgu.CV.Face;

namespace FaceRecognizer
{
    public partial class MainForm : Form
    {
        LBPHFaceRecognizer reconizer;
        CascadeClassifier faceCascade;
        Image<Gray, byte> temp;
        List<Image<Gray, byte>> imageList = new List<Image<Gray, byte>>();
        List<string> imageLabels = new List<string>();
        List<int> imageIndicies = new List<int>();
        Rectangle[] detectedFaces;

        public MainForm()
        {
            InitializeComponent();
            console.AppendText("Main OK!");
            try
            {
                reconizer = new LBPHFaceRecognizer(1, 8, 8, 9, 65);
                faceCascade = new CascadeClassifier("faceCascade.xml");
                console.AppendText("created regocnizer\n" +
                                   "loading cascade\n" +
                                   "loading images");
                reconizer.Read("ss");


                foreach (var file in Directory.GetFiles(Application.StartupPath))
                {

                    if (file.EndsWith("jpg"))
                    {
                        Image<Gray, byte> temp2 = new Image<Gray, byte>(file);
                        pictureBox1.Image = temp2.ToBitmap();
                        var result = reconizer.Predict(temp2);
                        console.AppendText(">>result:" + result.Label.ToString());  
                    }
                }
                   
            }
            catch (Exception e)
            {
                console.AppendText("Error: " + e.Message);            
            }

            //try
            //{
            //    foreach (var file in Directory.GetFiles(Application.StartupPath))
            //    {
            //        if (file.EndsWith("jpg"))
            //        {
            //            console.AppendText("found: " + Path.GetFileNameWithoutExtension(file));
            //            temp = new Image<Gray, byte>(file);
            //            console.AppendText("loaded: " + Path.GetFileNameWithoutExtension(file));
            //            temp._EqualizeHist();

            //            //var detected_faces = faceCascade.DetectMultiScale(temp
            //            //    , 1.1
            //            //    , 20
            //            //    , new Size(24, 24)
            //            //    , Size.Empty);
            //            //if (detected_faces.Length == 0) { console.AppendText("lenght zero"); continue; }
            //            //temp.ROI = detected_faces[0];

            //            temp = temp.Copy();
            //            temp = temp.Resize(100, 100, Inter.Cubic);
            //            imageList.Add(temp);
            //            imageLabels.Add(Path.GetFileNameWithoutExtension(file));                        
            //        }
            //    }
            //    for (int i = 0; i < imageList.Count; i++)
            //    {
            //        imageIndicies.Add(i);
            //    }

            //    try { reconizer.Train(imageList.ToArray(), imageIndicies.ToArray()); }
            //    catch (Exception e) { console.AppendText("Error: " + e.Message); }
            //    reconizer.Write("faceRecognizer");
                
            //}
            //catch (Exception e)
            //{
            //    console.AppendText("Error: " + e.Message);
            //}

        }

        private void console_TextChanged(object sender, EventArgs e)
        {
            console.AppendText("\n");
        }
    }
}