public MainWindow()
{
InitializeComponent();
perceptron = new Perceptron(3);
learningExamples = new List<LearningExample>();
liczbaScroll.Value = 100;
stalaScroll.Value = 0.5;
isNetworkCreated = false;
}
public PerceptronViewer()
{
InitializeComponent();
lform.FormClosing += Lform_FormClosing;
ObjectSerializer<Perceptron> objSerializer = new ObjectSerializer<Perceptron>();
Perceptron yourObjectFromFile = objSerializer.GetSerializedObject(PathObjectSerializer);
if (yourObjectFromFile != null)
{
per = yourObjectFromFile;
}
else
{
per = new Perceptron(6400, 3200);
}
Load += PerceptronViewer_Load;
}
private void MainForm_Load(object sender, EventArgs e)
{
ObjectSerializer<Perceptron> objSerializer = new ObjectSerializer<Perceptron>();
Perceptron yourObjectFromFile = objSerializer.GetSerializedObject(PathObjectSerializer);
if (yourObjectFromFile != null)
{
per = yourObjectFromFile;
}
else
{
MessageBox.Show("Perceptron not trained");
}
}
//save collection image
private void DividedIntoImageButton_Click(object sender, EventArgs e)
{
ObjectSerializer<Perceptron> objSerializer = new ObjectSerializer<Perceptron>();
Perceptron yourObjectFromFile = objSerializer.GetSerializedObject(PathObjectSerializer);
if (yourObjectFromFile != null)
{
per = yourObjectFromFile;
}
else
{
MessageBox.Show("Perceptron not trained");
}
Segmentation segment = new Segmentation(null, null);
numberImageCollection = segment.GetCollectionofImage(DividedImageList, DividedImage);
ImageFormat format = ImageFormat.Bmp;
SaveFileDialog saveFileDialog = new SaveFileDialog();
if (saveFileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
int x = 0;
DividedimageList1.ImageSize = new Size(50, 50);
foreach (var item in numberImageCollection)
{
item.bitmap.Save(saveFileDialog.FileName + item.Name + ".bmp", format);
DividedimageList1.Images.Add(Image.FromFile(saveFileDialog.FileName + item.Name + ".bmp"));
DividedListView.Items.Add("image", x++);
}
DividedListView.LargeImageList = DividedimageList1;
}
}
/// <summary>
/// Funkcja przeznaczona przywrócenia domyślnych wartości interfejsu
/// </summary>
private void resetAll()
{
learningExamples = new List<LearningExample>();
perceptron = new Perceptron(3);
canvas.Children.Clear();
console.Text = "";
network = new MLPNetwork(3, learningExamples);
isNetworkCreated = false;
liczbaPerceptronowText.Text = "0";
}
/// <summary>
/// Zdarzenie przechwytywane w momencie naciśnięcia przycisku uczenia perceptronu
/// </summary>
private void pocketButton_Click(object sender, RoutedEventArgs e)
{
perceptron = new Perceptron(3);
println(perceptron.Weights.ToString());
// Uczy perceptron
println(perceptron.pocketLearn((int)liczbaScroll.Value, stalaScroll.Value, learningExamples).ToString());
// Rysuje linie na podstawie nauczonego perceptronu
drawLine();
}
public PerceptronEventArgs(Perceptron p)
{
perceptron = p;
}
