public UserImage(IFaceImage faceImage)
{
MemoryStream memoryStream = new MemoryStream();
faceImage.ImageOfFace.Save(memoryStream, ImageFormat.Bmp);
byte[] image = memoryStream.ToArray();
Image = image;
}
public IIdentifier GetIdentity(IFaceImage img)
{
IIdentifier answ = new Identifier(int.MinValue);
var labels = _labelRepo.GetAll();
foreach (var label in labels)
{
IEnumerable <IFaceImage> batch = label.Images;
List <Image <Gray, Byte> > compBatch = new List <Image <Gray, Byte> >();
List <int> trainingLabels = new List <int>();
int enumerator = 0;
foreach (var current in batch)
{
compBatch.Add(new Image <Gray, Byte>(current.ImageOfFace));
trainingLabels.Add(enumerator++);
}
FaceRecognizer recognizer = new LBPHFaceRecognizer(_recognizerRadius, _recognizerNeighbors,
_recognizerGridX, _recognizerGridY, _recognizerThreshold);
recognizer.Train(compBatch.ToArray(), trainingLabels.ToArray());
PredictionResult result = recognizer.Predict(new Image <Gray, Byte>(img.ImageOfFace));
if (result.Distance < _minDistanse)
{
_minDistanse = result.Distance;
answ = label.Id;
}
}
if (_minDistanse < _requiredDistance)
{
return(answ);
}
else
{
return(new Identifier(-1));
}
}
public void AddImage(IFaceImage image)
{
_images.Add(image);
}
