/// <summary>
/// Получение и вывод графика по accuracy во время тренировки нейронной сети
/// </summary>
private void WriteAccuracy()
{
string programPath, accuracyPath = "";
while (true)
{
string result = Client.GetMetrics("accuracy");
if (result.Contains(".zip"))
{
programPath = result;
break;
}
if (result != "")
{
accuracyPath = result;
accuracyPictureBox.ImageLocation = result;
}
Thread.Sleep(1000);
}
MessageBox.Show("Neural network training has ended", "Information", MessageBoxButtons.OK, MessageBoxIcon.Information);
isEnd = true;
// сохранение результатов
string newPath = FileNetwork.Copy(Save.NNetwork.Name, programPath);
if (newPath != "")
{
MessageBox.Show("Weights has been saved to " + FileNetwork.GetFullPath(newPath), "Information", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
newPath = FileNetwork.Copy(Save.NNetwork.Name, accuracyPath);
if (newPath != "")
{
MessageBox.Show("Accuracy graph has been saved to " + FileNetwork.GetFullPath(newPath), "Information", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
/// <summary>
/// Получение и вывод графика по loss во время тренировки нейронной сети
/// </summary>
private void WriteLoss()
{
string lossPath = "";
while (true)
{
string result = Client.GetMetrics("loss");
if (result.Contains(".zip"))
{
break;
}
if (result != "")
{
lossPath = result;
lossPictureBox.ImageLocation = result;
}
Thread.Sleep(1000);
}
// сохранение результатов
while (!isEnd)
{
Thread.Sleep(500);
}
string newPath = FileNetwork.Copy(Save.NNetwork.Name, lossPath);
if (newPath != "")
{
MessageBox.Show("Loss graph has been saved to " + FileNetwork.GetFullPath(newPath), "Information", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
