private void Timer_Tick(object sender, EventArgs e)
{
if (learningProcess)
{
prgBar.Value = lPr;
if (lPr > 99)
{
this.Close();
}
}
else if (timer.Interval == new TimeSpan(0, 0, 20))
{
testedNote++;
lbNote.Content = "Pause";
capturer.StopRecording();
if (testedNote.ToInt() == 0)
{
learningProcess = true;
capturer.StopRecording();
btnStart.IsEnabled = false;
btnStop.IsEnabled = false;
lbNote.Content = "End";
prgBar.Value = 0;
Task.Factory.StartNew(() => Learn());
}
timer.Interval = new TimeSpan(0, 0, 2);
prgBar.Value = testedNote.ToInt() * 100 / 61;
samplesOneType = 0;
lbSampleCount.Content = samplesOneType;
}
else
{
timer.Interval = new TimeSpan(0, 0, 20);
lbNote.Content = testedNote.ToString();
capturer.StartRecording();
}
}
static public NeuralNet.Sample GetSampleFromModel(FrequencyModel model, Note n)
{
double[] data = new double[model.Data.Count];
int i = 0;
foreach (var x in model.GetHighestData())
{
data[i] = x.Value;
i++;
}
double[] pred = new double[61];
pred[n.ToInt()] = 1;
return(new NeuralNet.Sample(data, pred));
}
