/// <summary>
/// Make the training file
/// </summary>
/// <param name="filename">output filename</param>
private void makeTraining(string filename)
{
DefinitionImage di;
System.IO.StreamWriter sw = new System.IO.StreamWriter(filename);
List <string> file = new List <string>(1);
file.Add("");
int i, j, cat, len2, len = m_trainingFiles.Count;
//Go through the different symbol names
for (i = 0; i < len; ++i)
{
//Go through all of the specific symbols
if (m_trainingFiles[i] == null)
{
Console.WriteLine("There were no training files at index {0}", i);
continue;
}
len2 = m_trainingFiles[i].Count;
for (j = 0; j < len2; ++j)
{
file[0] = m_trainingFiles[i][j];
di = new DefinitionImage(m_width, m_height, file);
di.Main.writeToBitmap(file[0] + ".bmp");
sw = write(di, i + 1, sw);
sw.WriteLine();
}
}
sw.Close();
}
/// <summary>
/// Load definition images
/// </summary>
private void loadDefinitions()
{
DefinitionImage di;
int i, len = m_symbols.Count;// m_definitionFiles.Count;
m_defs = new List <DefinitionImage>(len);
for (i = 0; i < len; ++i)
{
//should be normalized already :)
di = new DefinitionImage(m_width, m_height, m_symbols[i] + ".amat");
m_defs.Add(di);
//use this so we can rotate and recognize the training
DefinitionImage.AddMatch(di);
}
}
/// <summary>
/// Creates the average image
/// </summary>
/// <returns>Definition Image / Average image</returns>
public DefinitionImage getDefinition()
{
di = new DefinitionImage(m_width, m_height, m_files);
return(di);
}
/// <summary>
/// Write out to the stream
/// </summary>
/// <param name="di">Image to write</param>
/// <param name="category">Training index</param>
/// <param name="sw">Stream to write to</param>
/// <returns>New place in stream</returns>
private System.IO.StreamWriter write(DefinitionImage di, int category, System.IO.StreamWriter sw)
{
return(write(di.toNodes(), category, sw));
}