public bool TrainRecognizer(Image <Gray, byte>[] faceImages, int[] faceLabels)
{
_faceRecognizer.Train(faceImages, faceLabels);
_faceRecognizer.Save(_recognizerFilePath);
return(true);
}
public void TrainRecognizer()
{
var allFaces = new FRService().All();
if (allFaces.Count > 0)
{
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].Face, 0, allFaces[i].Face.Length);
var faceImage = new Image <Gray, byte>(new Bitmap(stream));
faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic);
faceLabels[i] = (int)(allFaces[i].Id);
}
// can also try :LBPHFaceRecognizer
var fr = new EigenFaceRecognizer();
fr.Train(faceImages, faceLabels);
var retPath = ConfigurationManager.AppSettings["trainedPath"];
var savedFile = retPath + $"{DateTime.Now.ToString("yyyy-MM-dd HH-mm-ss")}_frModel";
fr.Save(savedFile);
MessageBox.Show($"Model trained successfully. saved into {savedFile}");
}
else
{
MessageBox.Show("No face found in db");
}
}
public void TrainRecognizer()
{
// FaceRecognizer _faceRecognizer = new LBPHFaceRecognizer(1, 8, 8, 8, double.PositiveInfinity);
FaceRecognizer _faceRecognizer = new EigenFaceRecognizer(80, double.PositiveInfinity);
DataStoreAccess _datastoreaccess = new DataStoreAccess();
var allFaces = _datastoreaccess.callfaces();
// MessageBox.Show(allFaces.Count.ToString());
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);
faceImages[i] = faceImage.Resize(100, 100, Inter.Cubic);
faceLabels[i] = Convert.ToInt32(allFaces[i].Label);
}
string filepath = Application.StartupPath + "/traineddata";
// var filePath = Application.StartupPath + String.Format("/{0}.bmp", face);
_faceRecognizer.Train(faceImages, faceLabels);
_faceRecognizer.Save(filepath);
// MessageBox.Show(allFaces[0].Label);
}
else
{
//MessageBox.Show("adasfsf");
}
}
/// <summary>
/// Trains recognizer on fetched face-label pairs and saves the trained data to recognition variables
/// </summary>
public void TrainRecognizer()
{
recog = new EigenFaceRecognizer();
recog.Train <Gray, byte>(imgs.ToArray(), ints);
MessageBox.Show("aww yes");
recog.Save("trainingset/test.frl");
MessageBox.Show("tuwid na daan o");
}
public bool Train(byte[][] faces, int[] labels)
{
Image <Gray, byte>[] resizedFaces = new Image <Gray, byte> [faces.Length];
for (int i = 0; i < faces.Length; i++)
{
resizedFaces[i] = StreamConverter.ByteToImageResize(faces[i]).Clone();
}
_faceRecognizer.Train(resizedFaces, labels);
_faceRecognizer.Save(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile) + "\\Documents\\test-recognizer.yaml");
return(true);
}
public bool TrainRecognizer()
{
var allFaces = dbAccess.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(recognizerFilePath);
}
return(true);
}
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");
}
}
