public void Train(DirectoryInfo dir, int threshold, int size = 60)
{
FileInfo[] listFile = dir.GetFiles();
numberOfComponents = listFile.Length;
this.size = size;
this.threshold = threshold;
faces = new Image <Gray, byte> [numberOfComponents];
int[] faceNo = new int[numberOfComponents];
this.labels = new String[numberOfComponents];
int i = 0;
foreach (FileInfo fi in listFile)
{
this.labels[i] = Path.GetFileNameWithoutExtension(fi.FullName).Split('_')[0];
faceNo[i] = i;
faces[i++] = new Image <Gray, byte>(fi.FullName).Resize(this.size, this.size, INTER.CV_INTER_CUBIC);
}
try
{
//MessageBox.Show("" + threshold);
recognizer = new FisherFaceRecognizer(this.numberOfComponents, this.threshold);
recognizer.Train(faces, faceNo);
}
catch (Exception E)
{
MessageBox.Show(E.Message);
}
}
private void btnLoadRecog_Click(object sender, EventArgs e)
{
FaceRecognizer fcrec = new FaceRecognizer();
fcrec.Show();
}
public PCA(int numberOfComponents, double threshold = 100)
{
this.numberOfComponents = numberOfComponents;
this.threshold = threshold;
recognizer = new EigenFaceRecognizer(this.numberOfComponents, this.threshold);
}
