public void Update(CVFaceFrame face, CVModel recModel)
{
switch (this.Status)
{
case PersonStatus.Recognizing:
if (recModel.ClassifySample(face) == 1)
{
recModel.ClassifySample(face);
}
break;
case PersonStatus.Training:
break;
}
}
public FrameController()
{
FrameSourceTypes type = FrameSourceTypes.Color;
dataExtractor = new DataExtractor(type);
dataExtractor.OnFrameArrived += KinectFrameReceivedEvent;
this.FrameHeightColor = dataExtractor.FrameHeightColor;
this.FrameWidthColor = dataExtractor.FrameWidthColor;
this.FrameHeightDepth = dataExtractor.FrameHeightDepth;
this.FrameWidthDepth = dataExtractor.FrameWidthDepth;
this.Sensor = dataExtractor.Sensor;
this.people = new Person[Sensor.BodyFrameSource.BodyCount];
this.settings = Settings.Instance();
this.db = new Database();
this.recModel = Database.LoadModel(CVModelType.PCA_SVM);
}
public static void SaveModel(CVModel model)
{
throw new NotImplementedException();
}
public static CVModel LoadModel(CVModel type, int id = 0)
{
throw new NotImplementedException();
}