private void NormalizeAndConvertDataSet()
{
Log.Write(this.GetType(), "Normalizing data sets");
List <DataSet> newDataSets = new List <DataSet>();
List <Bitmap> allCharactersBitmap =
_dataSetList
.SelectMany(ds => ds.Items, (ds, item) => new { ds, item })
.SelectMany(c => c.item.charactersBitmap)
.ToList();
_normalizedHeight = allCharactersBitmap.Max(c => c.Height);
_normalizedWidth = allCharactersBitmap.Max(c => c.Width);
char[] labels =
_dataSetList
.SelectMany(ds => ds.Items, (ds, item) => new { ds, item })
.SelectMany(c => c.item.charactersLabelsChar)
.Distinct()
.OrderBy(c => c)
.ToArray();
_dictionary = DictionaryTools.CreateDictionaries(labels);
foreach (DataSet dataSet in _dataSetList)
{
Parallel.ForEach(dataSet.Items, dataSetItem =>
{
dataSetItem.charactersLabelsInt =
DictionaryTools.CharToInt(_dictionary, dataSetItem.charactersLabelsChar);
dataSetItem.charactersBitmap =
dataSetItem
.charactersBitmap
.Select(ch => new Bitmap(ch, _normalizedWidth, _normalizedHeight))
.ToArray();
dataSetItem.charactersDouble =
dataSetItem
.charactersBitmap
.Select(ch =>
dataSet
.CourtImageEngine
.ConvertImageToDouble(new Bitmap(ch, _normalizedWidth, _normalizedHeight)))
.ToArray();
});
}
}
public string Predict(Bitmap imageBitmap, string courtName, string color = null)
{
IImageEngine imageEngine = CreateCourtImageEngineObject(courtName);
ColorsEnum?colorEnum = null;
if (
!string.IsNullOrWhiteSpace(color) &&
Enum.GetNames(typeof(ColorsEnum)).Any(c => c.Equals(color, StringComparison.InvariantCultureIgnoreCase)))
{
Enum.TryParse(color, true, out ColorsEnum tmpColorEnum);
colorEnum = tmpColorEnum;
}
Bitmap[] charactersBitmap = imageEngine.ExtractCharacters(imageBitmap, colorEnum);
double[][] charactersDouble =
charactersBitmap
.Select(ch => imageEngine.ConvertImageToDouble(new Bitmap(ch, _normalizedWidth, _normalizedHeight)))
.ToArray();
int[] x = Engine.Predict(charactersDouble);
return(string.Concat(DictionaryTools.IntToChar(_dictionary, x)));
}
