private void Timer_Tick(object sender, EventArgs e)
{
Frame = Capture.QueryFrame();
var imageFrame = Frame.ToImage <Gray, byte>();
if (TimerCounter < TimeLimit)
{
TimerCounter++;
if (imageFrame != null)
{
var faces = FaceDetection.DetectMultiScale(imageFrame, 1.3, 5);
if (faces.Length > 0)
{
var processImage = imageFrame.Copy(faces[0]).Resize(ProcessImageWidth, ProcessImageHeight, Inter.Cubic);
Faces.Add(processImage);
Labels.Add(Convert.ToInt32(txtUserId.Text));
ScanCounter++;
rtbOutPut.AppendText($"{ScanCounter} Success Scan Taken... {Environment.NewLine}");
rtbOutPut.ScrollToCaret();
}
}
}
else
{
var trainFaces = ConvertImageToMat(Faces);
foreach (var face in trainFaces)
{
DataStoreAccess.SaveFace(Convert.ToInt32(txtUserId.Text), txtUserName.Text, ConvertImageToBytes(face.Bitmap));
}
EigenFaceRecognizer.Train(trainFaces.ToArray(), Labels.ToArray());
EigenFaceRecognizer.Write(YMLPath);
Timer.Stop();
TimerCounter = 0;
btnPredict.Enabled = true;
rtbOutPut.AppendText($"Training Completed! {Environment.NewLine}");
MessageBox.Show("Training Completed!");
}
}
public Form1()
{
InitializeComponent();
EigenFaceRecognizer = new EigenFaceRecognizer(4, 800);
DataStoreAccess = new DataStoreAccess(ConnectionString);
FaceDetection = new CascadeClassifier(Path.GetFullPath($"{AppDomain.CurrentDomain.BaseDirectory}haarcascade_frontalface_default.xml"));
Frame = new Mat();
Faces = new List <Image <Gray, byte> >();
Labels = new List <int>();
if (File.Exists(YMLPath))
{
EigenFaceRecognizer.Read(YMLPath);
}
var allFaces = DataStoreAccess.CallFaces("ALL_USERS");
if (allFaces != null)
{
for (int i = 0; i < allFaces.Count; i++)
{
Stream stream = new MemoryStream();
stream.Write(allFaces[i].Image, 0, allFaces[i].Image.Length);
var faceImage = new Image <Gray, byte>(new Bitmap(stream));
Faces.Add(faceImage);
Labels.Add(allFaces[i].UserId);
}
EigenFaceRecognizer.Train(ConvertImageToMat(Faces).ToArray(), Labels.ToArray());
btnPredict.Enabled = true;
MessageBox.Show("Training Completed!");
}
else
{
MessageBox.Show("Nothing to traing!");
}
BeginCapture();
}
