private void SaveRegressionModel(string filename)
{
RidgeRegression[] models = new RidgeRegression[] { RegressionX, RegressionY };
XmlSerializer xs = new XmlSerializer(typeof(RidgeRegression[]));
StreamWriter sw = new StreamWriter(filename);
xs.Serialize(sw, models);
sw.Close();
}
public static RidgeRegression Load(string filename)
{
XmlSerializer xs = new XmlSerializer(typeof(RidgeRegression));
StreamReader sr = new StreamReader(filename);
RidgeRegression r = (RidgeRegression)xs.Deserialize(sr);
sr.Close();
return(r);
}
private void LoadRegressionModel(string filename)
{
XmlSerializer xs = new XmlSerializer(typeof(RidgeRegression[]));
StreamReader sr = new StreamReader(filename);
RidgeRegression[] models = (RidgeRegression[])xs.Deserialize(sr);
sr.Close();
RegressionX = models[0];
RegressionY = models[1];
}
// constructor
public FormMain()
{
InitializeComponent();
LoadDefaultSettings();
this.propertyGridSettings.SelectedObject = settings;
int n = (settings.FeatureExtraction_PatchWidth * settings.FeatureExtraction_PatchHeight) * 2 + 5;
RegressionX = new RidgeRegression(n);
RegressionY = new RidgeRegression(n);
faceClassifier = new CascadeClassifier(faceFileName);
eyeClassifier = new CascadeClassifier(eyeFileName);
}