/// <summary>
/// Saves the trained Eigen Recogniser to specified location
/// </summary>
/// <param name="filename"></param>
public void Save_Eigen_Recogniser(string filename)
{
recognizer.Save(filename);
//save label data as this isn't saved with the network
string direct = Path.GetDirectoryName(filename);
FileStream Label_Data = File.OpenWrite(direct + "/Labels.xml");
using (XmlWriter writer = XmlWriter.Create(Label_Data))
{
writer.WriteStartDocument();
writer.WriteStartElement("Labels_For_Recognizer_sequential");
for (int i = 0; i < Names_List.Count; i++)
{
writer.WriteStartElement("LABEL");
writer.WriteElementString("POS", i.ToString());
writer.WriteElementString("NAME", Names_List[i]);
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteEndDocument();
}
Label_Data.Close();
}
public bool 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(200, 200, Inter.Cubic);
faceLabels[i] = allFaces[i].UserId;
}
_faceRecognizer.Train(faceImages, faceLabels);
_faceRecognizer.Save(_recognizerFilePath);
}
return(true);
}
