Hesham/FaceRcognizer
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training button

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HeshamTB 2018-09-20 12:48:50 +03:00
parent 3b2b5b8c45
commit 57ddf2a2d9
2 changed files with 107 additions and 54 deletions
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43
FaceRecognizer/MainForm.Designer.cs generated
View File

@ -31,6 +31,9 @@
this.console = new System.Windows.Forms.RichTextBox();
this.pictureBox1 = new System.Windows.Forms.PictureBox();
this.pictureBox2 = new System.Windows.Forms.PictureBox();
this.TrainBtn = new System.Windows.Forms.Button();
this.nameTxtBx = new System.Windows.Forms.TextBox();
this.RecconizeBtn = new System.Windows.Forms.Button();
((System.ComponentModel.ISupportInitialize)(this.pictureBox1)).BeginInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox2)).BeginInit();
this.SuspendLayout();
@ -46,6 +49,7 @@
this.console.Size = new System.Drawing.Size(776, 120);
this.console.TabIndex = 0;
this.console.Text = "";
this.console.ZoomFactor = 2F;
this.console.TextChanged += new System.EventHandler(this.console_TextChanged);
//
// pictureBox1
@ -53,6 +57,7 @@
this.pictureBox1.Location = new System.Drawing.Point(464, 12);
this.pictureBox1.Name = "pictureBox1";
this.pictureBox1.Size = new System.Drawing.Size(324, 300);
this.pictureBox1.SizeMode = System.Windows.Forms.PictureBoxSizeMode.AutoSize;
this.pictureBox1.TabIndex = 1;
this.pictureBox1.TabStop = false;
//
@ -64,19 +69,50 @@
this.pictureBox2.TabIndex = 1;
this.pictureBox2.TabStop = false;
//
// Form1
// TrainBtn
//
this.TrainBtn.Location = new System.Drawing.Point(363, 249);
this.TrainBtn.Name = "TrainBtn";
this.TrainBtn.Size = new System.Drawing.Size(75, 23);
this.TrainBtn.TabIndex = 2;
this.TrainBtn.Text = "Train";
this.TrainBtn.UseVisualStyleBackColor = true;
this.TrainBtn.Click += new System.EventHandler(this.TrainBtn_Click);
//
// nameTxtBx
//
this.nameTxtBx.Location = new System.Drawing.Point(348, 167);
this.nameTxtBx.Name = "nameTxtBx";
this.nameTxtBx.Size = new System.Drawing.Size(100, 20);
this.nameTxtBx.TabIndex = 3;
//
// RecconizeBtn
//
this.RecconizeBtn.Location = new System.Drawing.Point(363, 209);
this.RecconizeBtn.Name = "RecconizeBtn";
this.RecconizeBtn.Size = new System.Drawing.Size(75, 23);
this.RecconizeBtn.TabIndex = 4;
this.RecconizeBtn.Text = "Recognize";
this.RecconizeBtn.UseVisualStyleBackColor = true;
this.RecconizeBtn.Click += new System.EventHandler(this.RecconizeBtn_Click);
//
// MainForm
//
this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.ClientSize = new System.Drawing.Size(800, 450);
this.Controls.Add(this.RecconizeBtn);
this.Controls.Add(this.nameTxtBx);
this.Controls.Add(this.TrainBtn);
this.Controls.Add(this.pictureBox2);
this.Controls.Add(this.pictureBox1);
this.Controls.Add(this.console);
this.Name = "Form1";
this.Name = "MainForm";
this.Text = "Form1";
((System.ComponentModel.ISupportInitialize)(this.pictureBox1)).EndInit();
((System.ComponentModel.ISupportInitialize)(this.pictureBox2)).EndInit();
this.ResumeLayout(false);
this.PerformLayout();
}
@ -85,6 +121,9 @@
private System.Windows.Forms.RichTextBox console;
private System.Windows.Forms.PictureBox pictureBox1;
private System.Windows.Forms.PictureBox pictureBox2;
private System.Windows.Forms.Button TrainBtn;
private System.Windows.Forms.TextBox nameTxtBx;
private System.Windows.Forms.Button RecconizeBtn;
}
}

118
FaceRecognizer/MainForm.cs
View File

@ -27,84 +27,98 @@ namespace FaceRecognizer
List<string> imageLabels = new List<string>();
List<int> imageIndicies = new List<int>();
Rectangle[] detectedFaces;
string trainImagesFolder = Application.StartupPath + "\\Train";
public MainForm()
{
InitializeComponent();
console.AppendText("Main OK!");
console.AppendText("Main OK!");
}
void train(string personName)
{
faceCascade = new CascadeClassifier("haarcascade_frontalface_alt_tree.xml");
reconizer = new LBPHFaceRecognizer();
foreach (var file in Directory.GetFiles(trainImagesFolder))
{
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
, 3
, 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());
reconizer.Write(personName);
console.AppendText("Training done!\nFile Name: " + personName);
}
catch (Exception e) { console.AppendText("Error: " + e.Message); }
}
void recognize(string personName)
{
console.AppendText("Recognizing " + personName + "from local photos");
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");
reconizer = new LBPHFaceRecognizer();
reconizer.Read(personName);
foreach (var file in Directory.GetFiles(Application.StartupPath))
foreach (var file in Directory.GetFiles(trainImagesFolder))
{
if (file.EndsWith("jpg"))
{
Image<Gray, byte> temp2 = new Image<Gray, byte>(file);
pictureBox1.Image = temp2.ToBitmap();
pictureBox1.Image = temp2.Resize(pictureBox1.Width, pictureBox1.Height, Inter.Cubic).ToBitmap();
var result = reconizer.Predict(temp2);
console.AppendText(">>result:" + result.Label.ToString());
console.AppendText(">>result:" + result.Label.ToString());
}
}
}
catch (Exception e)
{
console.AppendText("Error: " + e.Message);
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 TrainBtn_Click(object sender, EventArgs e)
{
train(nameTxtBx.Text);
}
private void RecconizeBtn_Click(object sender, EventArgs e)
{
recognize(nameTxtBx.Text);
}
private void console_TextChanged(object sender, EventArgs e)
{
console.AppendText("\n");
}
}
}