private void btn_CNN_learn_Click(object sender, EventArgs e)
{
if (network.IsLearned())
{
DialogResult result = MessageBox.Show("Network is already teached. Teach again?", "", MessageBoxButtons.YesNo);
if (result == DialogResult.No)
{
return;
}
}
if (tb_cascade_path.Text == "")
{
MessageBox.Show("Please choose path to folder with at least 1 cascade", "ERROR");
return;
}
if (!Directory.Exists(tb_cascade_path.Text))
{
MessageBox.Show("Cascade Folder does not exists", "ERROR");
return;
}
if ((trainFolder != null) && (testFolder != null))
{
int acc;
Int32.TryParse(tb_network_acc.Text, out acc);
int BatchSize = 100;
float LearnRate = 0.01f;
float momentum = 0.85f;
double d = network.TeachCNN(trainFolder.GetPath(), recognizeImageFolder.GetPath(), acc, LearnRate, BatchSize, momentum);
if (d == -1)
{
MessageBox.Show("Please add layers and try again");
}
else
{
lAccuracy.Text = d.ToString();
Int32.TryParse(d.ToString(), out aim);
}
if (network.IsLearned())
{
lLearned.Text = "Learned";
MessageBox.Show("Network is learned acc is " + lAccuracy.Text);
}
}
}