public void StartWriteText()
{
string NeuroNetFile = "";
NeuroNet neuroNet;
OpenFileDialog NeuroNetDialog = new OpenFileDialog
{
Title = "Выбор нейросети",
Filter = "Neuronet files|*.NN|All files|*.*"
};
if (NeuroNetDialog.ShowDialog() == DialogResult.OK)
{
NeuroNetFile = NeuroNetDialog.FileName;
}
else
{
return;
}
neuroNet = NeuroNet.LoadNeuronet(NeuroNetFile);
NormalizePhoto();
FindAllLines();
DebugLines();
FindAllLetters();
PreparationWriteTextPass();
int k = 0;
while (WriteTextPass(neuroNet) && k < 200000)
{
k++;
}
Debug.Log("Расшифровка изображения завершена");
SaveFileDialog SaveTextDialog = new SaveFileDialog
{
Title = "SaveTextDialog",
Filter = "Text|*.txt|All files|*.*"
};
if (SaveTextDialog.ShowDialog() == DialogResult.OK)
{
FileWork.SaveText(final_massage, SaveTextDialog.FileName);
}
//FileWork.SaveText(final_massage, @"C:\Users\Admin\Desktop\Letter\ForComplete\text.txt");
Debug.Log("Текст скопирован в буфер обмена");
Clipboard.SetText(final_massage);
}
void StartLearningThread()
{
Debug.Log("начало обучения");
Bitmap LetterImage;
char letter;
int count = 100000;
float[] start_signals;
float[] ideal_signals;
//neuroNet = NeuroNet.CreateNeuroNet(new int[] {offset * offset, 42, 255 }, new NeuroData(1, 0.0002f));
int load_neuroNet = 10800;//34500;
neuroNet = NeuroNet.LoadNeuronet(@"C:\Users\Admin\Desktop\Letter\forNeuronet\NN" + load_neuroNet + ".NN");
Debug.SetMaxValueProgressBar(count);
for (int j = load_neuroNet + 1; j < count; j++)
{
neuroNet.ZeroingErrorOfEra();
for (int i = 0; i < 1030; i++)
{
StreamReader TextReader = new StreamReader(@"C:\Users\Admin\Desktop\ForText\" + i + ".txt");
LetterImage = new Bitmap(@"C:\Users\Admin\Desktop\ForText\" + i + ".jpg");
letter = TextReader.ReadLine()[0];
start_signals = GetNormalisedStartSignalsFromImage(LetterImage);
ideal_signals = GetNormalisedIdealSignals(letter);
neuroNet.Pass(start_signals, ideal_signals);
}
if (j % 50 == 0)
{
if (j != 0)
{
neuroNet.SaveNeuronet(@"C:\Users\Admin\Desktop\Letter\forNeuronet\NN" + j + ".NN");
Debug.Log("завершено на " + (j * 100f / count) + "%");
}
else
{
neuroNet.SaveNeuronet(@"C:\Users\Admin\Desktop\Letter\forNeuronet\NN" + 0 + ".NN");
}
Debug.Log("error of era = " + neuroNet.ShowErrorOfEra());
//neuroNet.edukationK *= 0.99f;
}
//Debug.Log("error of era = " + neuroNet.ShowErrorOfEra());
Debug.SetCurrentValueProgressBar(j);
}
neuroNet.SaveNeuronet(@"C:\Users\Admin\Desktop\Letter\forNeuronet\NN" + count + ".NN");
Debug.Log("обучение завершено");
}