public void SaveNeuronet(string filepath)
{
FileWork.SaveNeuroNet(this, filepath);
}
public static NeuroNet LoadNeuronet(string filepath)
{
return(FileWork.LoadNeuroNet(filepath));
}
public bool NextPreTrainingPass(char letter, bool need_save = true)
{
if (current_line_TrainingPass >= LineList.Count)
{
Debug.Log("изображение полностью обработано");
return(false);
}
if (LineList[current_line_TrainingPass].LetterList.Count == 0)
{
Debug.Log("в этой строке нет букв");
current_column_TrainingPass = 0;
current_line_TrainingPass++;
return(false);
}
int min_y = LineList[current_line_TrainingPass].up_y;
int min_x = LineList[current_line_TrainingPass].LetterList[current_column_TrainingPass].left_x;
ClearPreShow();
ClearStartSignals();
int[,] start_signals_pre = new int[offset, offset * 5];
for (int y = 0; y < start_signals_pre.GetLength(1); y++)
{
for (int x = 0; x < start_signals_pre.GetLength(0); x++)
{
start_signals_pre[x, y] = 255;
}
}
for (int y = LineList[current_line_TrainingPass].up_y; y < LineList[current_line_TrainingPass].down_y; y++)
{
for (int x = LineList[current_line_TrainingPass].LetterList[current_column_TrainingPass].left_x; x < LineList[current_line_TrainingPass].LetterList[current_column_TrainingPass].right_x; x++)
{
if (x - min_x < offset && y - min_y < offset)
{
Color color = NormalizeImage.GetPixel(x, y);
start_signals_pre[(x - min_x), (y - min_y)] = color.R;
NormalizeImage.SetPixel(x, y, Color.White);
start_signals[(x - min_x) + (y - min_y) * offset] = color.R;
}
else
{
if (x - min_x < start_signals_pre.GetLength(0) && y - min_y < start_signals_pre.GetLength(1))
{
Color color = NormalizeImage.GetPixel(x, y);
start_signals_pre[(x - min_x), (y - min_y)] = color.R;
}
}
}
}
bool free_line = true;
int start_line = 0;
for (int y = 0; y < start_signals_pre.GetLength(1); y++)
{
for (int x = 0; x < start_signals_pre.GetLength(0); x++)
{
if (start_signals_pre[x, y] == 0)
{
free_line = false;
}
}
if (free_line)
{
start_line++;
}
else
{
break;
}
}
int current_start_signal = 0;
for (int y = start_line; y < start_signals_pre.GetLength(1); y++)
{
for (int x = 0; x < start_signals_pre.GetLength(0); x++)
{
if (x < offset && y - start_line < offset)
{
Color color = Color.FromArgb(255, start_signals_pre[x, y], start_signals_pre[x, y], start_signals_pre[x, y]);
start_signals[current_start_signal] = start_signals_pre[x, y];
current_start_signal++;
PreShow.SetPixel(x, y - start_line, color);
}
}
}
Debug.form1.Picture.Image = NormalizeImage;
Debug.form1.pictureBox1.Image = PreShow;
current_column_TrainingPass++;
if (LineList[current_line_TrainingPass].LetterList.Count <= current_column_TrainingPass)
{
current_column_TrainingPass = 0;
current_line_TrainingPass++;
}
if (need_save)
{
FileWork.SaveChar(letter, @"C:\Users\Admin\Desktop\ForText\" + (current_pass - 1) + ".txt");
FileWork.SaveImage(PreShow, @"C:\Users\Admin\Desktop\ForText\" + (current_pass) + ".jpg");
current_pass++;
}
return(true);
}