void LoadFaces()
{
List <string> usernames = _dataClient.GetAllUsernames();
if (usernames != null)
{
foreach (var name in usernames)
{
foreach (var face in _dataClient.CallFaces(name))
{
_savedFaces.Add(StreamConverter.ByteToBitmap(face.Image));
}
}
}
}
//private FaceTrainer _trainer;
#region Constructor & Properties
public SaveFaceDialog()
{
_dataClient = new DataStoreAccess(@"C:\data\db\SQLite-Faces.db");
List <string> usernames = _dataClient.GetAllUsernames();
if (usernames != null)
{
foreach (var name in usernames)
{
foreach (var face in _dataClient.CallFaces(name))
{
_savedFaces.Add(StreamConverter.ByteToBitmap(face.Image));
}
}
}
_detector = new JAVSFaceCropper();
_trainer = new TrainingEngine();
_camera = new CameraManager();
_camera.SetDetector(_detector);
_cameraIsReady = _camera.IsReady();
if (_cameraIsReady)
{
_camera.Start();
_camera.NewFrame += AttachFrames;
}
InitializeComponent();
DataContext = this;
}
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();
}
public void TrainRecognizer()
{
var allFaces = _dataStoreAccess.CallFaces("ALL_USERS");
if (allFaces != null)
{
var faceImages = new Image <Gray, byte> [allFaces.Count];
var faceLabels = new int[allFaces.Count];
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));
faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic);
faceLabels[i] = allFaces[i].UserId;
}
_faceRecognizer.Train(faceImages, faceLabels);
_faceRecognizer.Save(@"C:\Users\Dom\Documents\Visual Studio 2015\Projects\Emgu\Emgu\Faces\recognizerFilePath\file.yaml");
}
}
