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FormManualTrain.cs
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FormManualTrain.cs
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using System;
using System.IO;
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 Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Util;
using Emgu.CV.CvEnum;
using Emgu.CV.Features2D;
namespace EMGUCV
{
public partial class FormManualTrain : Form
{
OpenFileDialog browseImage;
Image<Gray, byte> loadImage;
private Form1 _form1;
private HaarCascade face;
private CascadeClassifier eyeWithGlass;
private int ROIwidth = 140;
private int ROIheight = 175;
private Size minEye;
private Size maxEye;
private string tempPath = "\\tmp.jpg";
private string folderPath = "";
private DBConn mydb;
private Classifier_Train eigenRecog;
private MCvFont font;
private Point facePosition;
private Int32 newid;
public FormManualTrain(Form1 frm1)
{
InitializeComponent();
browseImage = new OpenFileDialog();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
if (File.ReadAllText("setting.txt") != null)
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
}
private void button3_Click(object sender, EventArgs e)
{
string folderPath = "";
browseImage.Title = "Please select 640 x 480 pixel Image or smaller";
DialogResult result = browseImage.ShowDialog();
if (result == DialogResult.OK) // Test result.
{
folderPath = browseImage.FileName;
Console.WriteLine(folderPath);
Image<Gray,byte> receiveImage = new Image<Gray,byte>(folderPath);
if (receiveImage.Width <= 640 && receiveImage.Height <= 480)
{
loadImage = receiveImage;
imageBox1.Image = loadImage;
}
else
{
MessageBox.Show("Please select image that smaller than 640x480 pixel");
}
}
}
protected override void OnFormClosing(FormClosingEventArgs e)
{
base.OnFormClosing(e);
if (e.CloseReason == CloseReason.WindowsShutDown) return;
_form1.Show();
}
private void button1_Click(object sender, EventArgs e)
{
string dateTemp = dateTimePicker1.Value.ToString("s");
if (mydb.checkUserProfile(textBox1.Text, textBox2.Text))
{
mydb.InsertUserData(textBox1.Text, textBox2.Text, dateTemp, comboBox1.Text, comboBox2.Text);
}
newid = mydb.getUserId(textBox1.Text, textBox2.Text, dateTemp, comboBox1.Text);
if (newid != 0)
{
if (!TrainFrame(newid))
{
mydb.DeleteUser(newid);
}
else
{
MessageBox.Show("trainsuccess");
}
}
}
private bool TrainFrame(int newid)
{
try
{
Image<Gray, byte> darkimage = new Image<Gray, byte>(ROIwidth, ROIheight);
Image<Gray, byte> cropimage = new Image<Gray, byte>(ROIwidth, ROIheight);
//ArrayList pic = new ArrayList();
if (loadImage != null)
{
var faces = face.Detect(loadImage, 1.3, 6, HAAR_DETECTION_TYPE.FIND_BIGGEST_OBJECT, new Size(120, 120), new Size(200, 200));
if (faces.Length > 0)
{
foreach (var facecount in faces)
{
facePosition = new Point(facecount.rect.X, facecount.rect.Y);
var eyeObjects = eyeWithGlass.DetectMultiScale(loadImage, 1.3, 6, minEye, maxEye);
if (eyeObjects.Length == 2)
{
Console.WriteLine("eye");
if (eyeObjects[0].X > eyeObjects[1].X)
{
var temp = eyeObjects[0];
eyeObjects[0] = eyeObjects[1];
eyeObjects[1] = temp;
}
int betweeneLength = eyeObjects[1].X - eyeObjects[0].X;
int lefteyebrowpoint = eyeObjects[0].X;//
int righteyebrowpoint = eyeObjects[0].X + betweeneLength + eyeObjects[1].Width;//
int xxx = (int)((1.5 / 8.0) * betweeneLength);
int neareyebrowpoint = (int)(0.2 * betweeneLength);
int faceheight = (int)(2.3 * betweeneLength);
loadImage.ROI = new Rectangle(new Point(lefteyebrowpoint - xxx, eyeObjects[0].Y - neareyebrowpoint), new Size((righteyebrowpoint + xxx) - (lefteyebrowpoint - xxx), faceheight));
cropimage = loadImage.Copy().Resize(ROIwidth, ROIheight, INTER.CV_INTER_LINEAR);
loadImage.ROI = Rectangle.Empty;
loadImage.Draw(new Rectangle(new Point(lefteyebrowpoint - xxx, eyeObjects[0].Y - neareyebrowpoint), new Size((righteyebrowpoint + xxx) - (lefteyebrowpoint - xxx), faceheight)),new Gray(0),2);
if (!cropimage.Equals(darkimage))
{
cropimage._EqualizeHist();
imageBox7.Image = cropimage; //line 2
cropimage.Save(folderPath + tempPath);
string dbPath = (folderPath + tempPath).Replace("\\","/");
//mydb.InsertImageTraining(newid, dbPath, true);
//File.Delete(tempPath);
eigenRecog.reloadData();
imageBox1.Image = loadImage;
imageBox7.Image = cropimage;
return true;
//Fish_Recog.reloadData();
}
else
{
imageBox1.Image = loadImage;
imageBox7.Image = cropimage;
return false;
}
}
else
{
return false;
}
}
}
else
{
return false;
}
}
else
{
return false;
}
}
catch
{
return false;
}
return false;
}
private void button2_Click(object sender, EventArgs e)
{
_form1.Show();
this.Close();
}
}
}