public frmMain()
{
TrainerManager tm = new TrainerManager();
DigitImageLoader loader = new DigitImageLoader();
data = loader.Load().OrderBy(x => rand.Next(int.MaxValue)).Take(500).ToList();
network = tm.GetTrainer(LearningSubject.Image, LearningObject.Network).Get <ICalculatableImageNetwork>();
InitializeComponent();
//imageList.Images.Add(Image.Fro)
CustomDigitImageProcessor d =
new CustomDigitImageProcessor(@"C:\Users\ostorc\Desktop\testData_whiteBlack.png", 2);
var img = d.Load();
SetMainText(img);
/*
* double succesRate = 0;
* foreach (var pair in data)
* {
* var di = pair;
* var data = network.GetNumber(pair);
* if (di.Label == data) succesRate += 1.0 / this.data.Count;
* }*/
}
private void btnLoad_Click(object sender, EventArgs e)
{
using (var fileDialog = new OpenFileDialog())
{
var res = fileDialog.ShowDialog();
if (res != DialogResult.OK)
{
return;
}
CustomDigitImageProcessor processor = new CustomDigitImageProcessor(fileDialog.FileName, -1);
var img = processor.Load();
data.Add(img);
SetMainText(addToListView(img));
}
}
