public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh = -1)
{
if (_IsTrained)
{
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
if (ER == null)
{
Eigen_label = "Tanımsız";
Eigen_Distance = 0;
return(Eigen_label);
}
else
{
Eigen_label = ER.Label;
Eigen_Distance = ER.Distance;
if (Eigen_Thresh > -1)
{
Eigen_threshold = Eigen_Thresh;
}
if (Eigen_Distance > Eigen_threshold)
{
return(Eigen_label);
}
else
{
return("Tanımsız");
}
}
}
else
{
return("");
}
}
private void FrameProcedure(object sender, EventArgs e)
{
if (camera != null)
{
//Paima iš kameros frame ir padaro jį juodai baltą
currentFrame = camera.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
grayFrame = currentFrame.Convert <Gray, Byte>();
//Detektina veidus frame
MCvAvgComp[][] facesDetectedNow = grayFrame.DetectHaarCascade(faceHaarCascase, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
foreach (MCvAvgComp faceData in facesDetectedNow[0])
{
faceImage = currentFrame.Copy(faceData.rect).Convert <Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
currentFrame.Draw(faceData.rect, new Bgr(Color.Green), 3);
//Bando detektintus veidus atpažinti
if (usersImages.ToArray().Length != 0)
{
MCvTermCriteria termCriterias = new MCvTermCriteria(usersImages.Count, 0.001);
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(usersImages.ToArray(), usersIds.ToArray(), 1500, ref termCriterias);
EigenObjectRecognizer.RecognitionResult recognizedId = recognizer.Recognize(faceImage);
//Jei atpažino
if (recognizedId != null)
{
//currentFrame.Draw(recognizedId.Label, ref font, new Point(faceData.rect.X - 2, faceData.rect.Y - 2), new Bgr(Color.Red)); //Nereikia piesti prie zmogaus jo id, tą padarys messageboxas
//Šaukia event'ą FoundRegisteredFace, su kuriuo vėliau dirbs UCLogin
OnFoundRegisteredFace(this, new RecognisedPersonEventArgs(recognizedId.Label));
}
}
}
cameraBox.Image = currentFrame.ToBitmap();
}
}
public static RecognizerResult Recognize(string unknownImg)
{
RecognizerResult rcgnResult = new RecognizerResult();
if (recognizer == null)
{
return(null);
}
// Recognize the image
Image <Gray, Byte> testImage = new Image <Gray, Byte>(unknownImg);
float[] distances = recognizer.GetEigenDistances(testImage);
string[] labels = recognizer.Labels;
int num = labels.Count();
for (int i = 0; i < num; i++)
{
rcgnResult.Distances.Add(labels[i], distances[i]);
}
EigenObjectRecognizer.RecognitionResult result = recognizer.Recognize(testImage);
if (result != null)
{
rcgnResult.Distance = result.Distance;
rcgnResult.Label = result.Label;
}
rcgnResult.FileName = Path.GetFullPath(unknownImg);
return(rcgnResult);
}
public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh = -1)
{
if (_IsTrained)
{
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
//handle if recognizer.EigenDistanceThreshold is set as a null will be returned
//NOTE: This is still not working correctley
if (ER == null)
{
Eigen_label = "Tanımsız";
Eigen_Distance = 0;
return(Eigen_label);
}
else
{
try
{
OGRENCI ogr = new OGRENCI();
ogr.OGRENCI_NO = ER.Label;
Eigen_label = Veritabani.OGRENCI_GETIR(ogr)[0].AD + Veritabani.OGRENCI_GETIR(ogr)[0].SOYAD;
Eigen_Distance = ER.Distance;
if (Eigen_Thresh > -1)
{
Eigen_threshold = Eigen_Thresh;
}
if (Eigen_Distance > Eigen_threshold)
{
return(Eigen_label);
}
else
{
return("Tanımsız");
}
}
catch (Exception)
{
return("Tanımsız");
}
}
}
else
{
return("");
}
}
public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh = -1)
{
try
{
if (_IsTrained)
{
Set_Eigen_Threshold = recognizeTreshold;
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
if (ER == null)
{
Eigen_label = "UnknownNull";
Eigen_Distance = 0;
return(Eigen_label + " " + Eigen_Distance.ToString());
}
else
{
Eigen_label = ER.Label;
Eigen_Distance = ER.Distance;
if (Eigen_Distance < recognizeTreshold)
{
return(Eigen_label + " " + Eigen_Distance.ToString());
}
//
else
{
return("UnknownFace" + " " + Eigen_Distance.ToString());
}
}
}
else
{
return("");
}
}
catch (Exception e)
{
Console.WriteLine(e);
return("");
}
}
/// <summary>
/// Recognise a Grayscale Image using the trained Eigen Recogniser
/// </summary>
/// <param name="Input_image"></param>
/// <returns></returns>
public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh = -1)
//Bu metot, gönderilen image nesnesini hafızadakilerle kıyaslayarak eşleşen kaydın bilgilerini dönmektedir.
{
if (_IsTrained)
{
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
//handle if recognizer.EigenDistanceThreshold is set as a null will be returned
//NOTE: This is still not working correctley
if (ER == null)
{
Eigen_label = "Tanımsız";
Eigen_Distance = 0;
return(Eigen_label);
}
else
{
Eigen_label = ER.Label;
Eigen_Distance = ER.Distance;
if (Eigen_Thresh > -1)
{
Eigen_threshold = Eigen_Thresh;
}
if (Eigen_Distance > Eigen_threshold)
{
return(Eigen_label);
}
else
{
return("Tanımsız");
}
}
}
else
{
return("");
}
}
/// <summary>
/// Recognise a Grayscale Image using the trained Eigen Recogniser
/// </summary>
/// <param name="Input_image"></param>
/// <returns></returns>
public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh = -1)
{
if (_IsTrained)
{
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
//handle if recognizer.EigenDistanceThreshold is set as a null will be returned
//NOTE: This is still not working correctley
if (ER == null)
{
Eigen_label = "YABANCI";
Eigen_Distance = 0;
return(Eigen_label);
}
else
{
Eigen_label = ER.Label;
Eigen_Distance = ER.Distance;
if (Eigen_Thresh > -1)
{
Eigen_threshold = Eigen_Thresh;
}
if (Eigen_Distance > Eigen_threshold)
{
return(Eigen_label);
}
else
{
return("YABANCI");
}
}
}
else
{
return("");
}
}
/// <summary>
/// Recognise a Grayscale Image using the trained Eigen Recogniser
/// </summary>
/// <param name="Input_image"></param>
/// <returns></returns>
public string Recognise(Image <Gray, byte> Input_image, int Eigen_Thresh, FormYoklama form)
{
if (_IsTrained)
{
EigenObjectRecognizer.RecognitionResult ER = recognizer.Recognize(Input_image);
//handle if recognizer.EigenDistanceThreshold is set as a null will be returned
//NOTE: This is still not working correctley
if (ER == null)
{
Eigen_label = "Tanımsız";
Eigen_Distance = 0;
return(Eigen_label);
}
else
{
try
{
bool karar = true;
OGRENCI ogr = new OGRENCI();
ogr.OGRENCI_NO = ER.Label;
ogr = Veritabani.OGRENCI_GETIR(ogr)[0];
Eigen_label = ogr.AD + " " + ogr.SOYAD;
foreach (DataGridViewRow row in form.dgYoklama.Rows)
{
if (row.Cells[0].Value.ToString().Contains(ogr.OGRENCI_NO))
{
karar = false;
}
}
if (karar)
{
OGRENCI ogr2 = new OGRENCI();
ogr2 = Veritabani.OGRENCI_GETIR(ogr)[0];
form.dgYoklama.Rows.Add(ogr2.OGRENCI_NO, ogr2.AD, ogr2.SOYAD, ogr2.CINSIYET);
}
Eigen_Distance = ER.Distance;
if (Eigen_Thresh > -1)
{
Eigen_threshold = Eigen_Thresh;
}
if (Eigen_Distance > Eigen_threshold)
{
return(Eigen_label);
}
else
{
return("Tanımsız");
}
}
catch (Exception)
{
return("Tanımsız");
}
}
}
else
{
return("");
}
}
