| public Load ( String fileName ) : void | ||
| fileName | String | The file where the FaceRecognizer will be loaded from |
| Результат | void | |
public static void InitializeFaceRecognizer()
{
_faceRecognizer?.Dispose();
_faceRecognizer = new LBPHFaceRecognizer(Properties.Settings.Default.RecognitionRadius, Properties.Settings.Default.RecognitionNeighbours, 8, 8, Properties.Settings.Default.RecognitionThreshold);
if (!File.Exists(Properties.Settings.Default.RecognitionTrainFile))
{
try
{
Directory.CreateDirectory(Path.GetDirectoryName(Properties.Settings.Default.RecognitionTrainFile));
File.Create(Properties.Settings.Default.RecognitionTrainFile).Close();
}
catch (Exception ex)
{
Debug.WriteLine("Could not create recognition file: " + ex);
}
}
else
{
try
{
_faceRecognizer.Load(Properties.Settings.Default.RecognitionTrainFile);
_trained = true;
}
catch (Exception ex)
{
Debug.WriteLine("Could not load recognition file: " + ex);
}
}
}
public Form1()
{
InitializeComponent();
recognizer = new LBPHFaceRecognizer(1, 8, 8, 9, 65);
classifier = new CascadeClassifier(haarcascade);
GPU_classifier = new GpuCascadeClassifier(haarcascade_cuda);
font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5, 0.5);
if (File.Exists(@"traningdata.xml"))
{
recognizer.Load(@"traningdata.xml");
}
else
{
foreach (var file in Directory.GetFiles(Application.StartupPath + @"\Traning Faces\"))
{
try { temp = new Image<Gray, Byte>(file); }
catch { continue; }
temp._EqualizeHist();
var detectedFaces = classifier.DetectMultiScale(temp, 1.1, 15, new Size(24, 24), Size.Empty);
if (detectedFaces.Length == 0)
{
continue;
}
temp.ROI = detectedFaces[0];
temp = temp.Copy();
temp = temp.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
imagesList.Add(temp);
imagesLabels.Add(Path.GetFileNameWithoutExtension(file));
}
for (int i = 0; i < imagesList.Count; i++)
{
imagesLabels_indices.Add(i);
}
try { recognizer.Train(imagesList.ToArray(), imagesLabels_indices.ToArray()); }
catch (Exception ex)
{
MessageBox.Show(ex.Message);
Environment.Exit(0);
}
}
}
public void loadRecognizer(string fileName)
{
// Reinitialize the recognizer and load in the file
recognizer = new LBPHFaceRecognizer(1, 8, 8, 9, 100);
recognizer.Load(fileName);
string directory = Path.GetDirectoryName(fileName);
// Purge all existing name labels
namesList.Clear();
if (File.Exists(directory + "/TrainedLabels.xml"))
{
// Read the file into memory
FileStream fileStream = File.OpenRead(directory + "/TrainedLabels.xml");
long fileLength = fileStream.Length;
byte[] xmlBytes = new byte[fileLength];
fileStream.Read(xmlBytes, 0, (int)fileLength);
fileStream.Close();
MemoryStream xmlStream = new MemoryStream(xmlBytes);
using (XmlReader xmlReader = XmlTextReader.Create(xmlStream))
{
while (xmlReader.Read())
{
if (xmlReader.IsStartElement())
{
switch (xmlReader.Name)
{
case "NAME":
if (xmlReader.Read())
{
namesList.Add(xmlReader.Value.Trim());
}
break;
}
}
}
}
}
trainStatus = true;
}
/// <summary>
/// Loads the trained Eigen Recogniser from specified location
/// </summary>
/// <param name="filename"></param>
public void Load_Eigen_Recogniser(string filename)
{
//Lets get the recogniser type from the file extension
string ext = Path.GetExtension(filename);
switch (ext)
{
case (".LBPH"):
Recognizer_Type = "EMGU.CV.LBPHFaceRecognizer";
recognizer = new LBPHFaceRecognizer(1, 8, 8, 8, 100);//50
break;
case (".FFR"):
Recognizer_Type = "EMGU.CV.FisherFaceRecognizer";
recognizer = new FisherFaceRecognizer(0, 3500);//4000
break;
case (".EFR"):
Recognizer_Type = "EMGU.CV.EigenFaceRecognizer";
recognizer = new EigenFaceRecognizer(80, double.PositiveInfinity);
break;
}
//introduce error checking
recognizer.Load(filename);
//Now load the labels
string direct = Path.GetDirectoryName(filename);
Names_List.Clear();
if (File.Exists(direct + "/Labels.xml"))
{
FileStream filestream = File.OpenRead(direct + "/Labels.xml");
long filelength = filestream.Length;
byte[] xmlBytes = new byte[filelength];
filestream.Read(xmlBytes, 0, (int)filelength);
filestream.Close();
MemoryStream xmlStream = new MemoryStream(xmlBytes);
using (XmlReader xmlreader = XmlTextReader.Create(xmlStream))
{
while (xmlreader.Read())
{
if (xmlreader.IsStartElement())
{
switch (xmlreader.Name)
{
case "NAME":
if (xmlreader.Read())
{
Names_List.Add(xmlreader.Value.Trim());
}
break;
}
}
}
}
ContTrain = NumLabels;
}
_IsTrained = true;
}
