private void setupWordClassifier(string wordsPath, string wordProbPath)
{
Game.ValidWords = new WordDict(wordsPath);
WordClassifier = new KNearestClassifier(1, Metric.WeightedHammingDistance, WeightMode.Modal);
WordClassifier.TrainingInstances = new List<Instance>();
string[] lines = File.ReadAllLines(wordProbPath);
foreach (string line in lines)
{
string[] word = line.Split(' ');
InstanceS x = new InstanceS(word[0]);
x.Weight = float.Parse(word[1]);
WordClassifier.TrainingInstances.Add(x);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="T:System.Object"/> class.
/// </summary>
/// <remarks></remarks>
public TileOCR(string trainingPath)
{
classifier = new KNearestClassifier(1, Metric.EuclideanDistance, WeightMode.InverseDistance);
training = LoadInstancesFromBitmaps(trainingPath);
classifier.Train(training);
results = new List<OCRResult>();
grayscale = new Grayscale(0, 0.85, 0.15);
invert = new Invert();
resize = new ResizeNearestNeighbor(32, 32);
floodFill = new PointedColorFloodFill(Color.Black);
dilate = new BinaryDilatation3x3();
blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinWidth = 4;
blobCounter.MinHeight = 14;
blobCounter.MaxWidth = 30;
blobCounter.MaxHeight = 30;
blobCounter.ObjectsOrder = ObjectsOrder.XY;
threshold = new BradleyLocalThresholding();
threshold.PixelBrightnessDifferenceLimit = 0;
//Threshold.WindowSize = 20;
threshold.WindowSize = 24;
}
