private void SaveCurrentImageCommandExecute(object obj)
{
var faceToSave = Sub_grayFrame;
Byte[] file;
IDataStoreAccess dataStore = new DataStoreAccess();
var username = name.ToLower().Trim();
for (int i = 0; i < 10; i++)
{
var filePath = string.Format(@"C:\Users\Dom\Documents\Visual Studio 2015\Projects\Emgu\Emgu\Faces\{0}.bmp", username);
faceToSave.ToBitmap().Save(filePath);
using (var stream = new FileStream(filePath, FileMode.Open, FileAccess.Read))
{
using (var reader = new BinaryReader(stream))
{
file = reader.ReadBytes((int)stream.Length);
}
}
var result = dataStore.SaveFace(username, file);
}
MessageBox.Show("Save Result");
}
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!");
}
}
void SaveFace_Click(object sender, RoutedEventArgs e)
{
byte[] face = StreamConverter.ImageToByte(_imageFace.ToBitmap());
_dataClient.SaveFace(_username, face);
}
