private void TrainPerseptron()
{
var folderName = AppDomain.CurrentDomain.BaseDirectory;
var perFile = folderName + "\\per.data";
var imgsFolder = folderName + "\\Lightshot";
var imgsNames = Directory.GetFiles(imgsFolder);
var imgToVes = new Dictionary<int[], double[]>();
for (int i = 0; i < Letters.Length; i++)
{
var fn = String.Format("{0}\\Screenshot_{1}.png", imgsFolder, i + 1);
var img = new Bitmap(System.Drawing.Image.FromFile(fn));
var ves = new double[imgsNames.Length];
ves[i] = 1;
imgToVes.Add(BitmapEditor.ImgToInts(img), ves);
}
System.Diagnostics.Debug.WriteLine("Training start");
Perseptron p = new Perseptron(30 * 40, 30 * 40, Letters.Length);
p.Train(imgToVes);
p.Save(perFile);
}
