public static void addTrainingPoint(Bgr[] samples, Stack.Color correctColor)
{
DataSet dataSet = new DataSet();
dataSet.Inputs = convertBgrListToInputArray(samples);
dataSet.Outputs = convertChipColorToOutput(correctColor);
Instance.trainingData.Add(dataSet);
retrain();
}
public static void trainChip(Image <Bgr, Byte> img, Point[] samplePoints, Stack.Color color)
{
List <Bgr> colorSamples = new List <Bgr>();
foreach (Point point in samplePoints)
{
colorSamples.Add(img[point]);
}
ColorFinder.addTrainingPoint(colorSamples.ToArray(), color);
}
private static double[] convertChipColorToOutput(Stack.Color chipColor)
{
List <double> correctOutputs = new List <double>();
foreach (Stack.Color color in Enum.GetValues(typeof(Stack.Color)))
{
if (color.Equals(chipColor))
{
correctOutputs.Add(1.0);
}
else
{
correctOutputs.Add(0.0);
}
}
return(correctOutputs.ToArray());
}
