public FindPersonOnImage()
{
InitializeComponent();
TrainedFaces.Clear();
FaceIDs.Clear();
PersonsNames.Clear();
using (ApplicationContext db = new ApplicationContext())
{
InitializeComponent();
db.Persons.Load();
Persons = db.Persons.Local.ToList();
}
int FaceCount = 0;
foreach (var person in Persons)
{
var img = new Bitmap(BitmapHelpers.byteArrayToImage(person.PersonPhoto));
Image <Gray, byte> imageForTrain = img.ToImage <Gray, byte>();
System.Drawing.Rectangle[] faces = faceCascadeClassifier.DetectMultiScale(imageForTrain, 1.1, 3, System.Drawing.Size.Empty, System.Drawing.Size.Empty);
foreach (var face in faces)
{
faceResult = imageForTrain;
faceResult.ROI = face;
CvInvoke.Resize(faceResult, faceResult, new System.Drawing.Size(200, 200), 0, 0, Inter.Cubic);
CvInvoke.EqualizeHist(faceResult, faceResult);
TrainedFaces.Add(faceResult.Mat);
}
FaceIDs.Add(FaceCount);
PersonsNames.Add(person.FirstName + " " + person.LastName);
FaceCount++;
Debug.WriteLine(FaceCount + ". " + person.FirstName + " " + person.LastName);
double Threshold = 2000;
if (TrainedFaces.Count > 0)
{
recognizer = new EigenFaceRecognizer(FaceCount, Threshold);
recognizer.Train(TrainedFaces.ToArray(), FaceIDs.ToArray());
}
InitializeComponent();
}
}
