private static bool IsSame(BrainRGBRecognizer.TrainerInput data1, BrainRGBRecognizer.TrainerInput data2)
{
if (data1 == null && data2 == null)
{
return(true);
}
else if (data1 == null || data2 == null)
{
return(false);
}
return(data1.Token == data2.Token); // I decided to just add a token
//if (data1.Width != data2.Width || data1.Height != data2.Height)
//{
// return false;
//}
//else if (data1.ImportantEvents.Length != data2.ImportantEvents.Length)
//{
// return false;
//}
//// Don't want to compare every pixel
//int step = 13;
//if (data1.Width % step == 0)
//{
// step = 11; // it's not a big deal if step is a multiple of width. I would just prefer the samples to not all be in the same column
//}
//for (int cntr = 0; cntr < data1.ImportantEvents.Length; cntr++)
//{
// if (!IsSame(data1.ImportantEvents[cntr].Item1, data2.ImportantEvents[cntr].Item1))
// {
// return false;
// }
// else if (!IsSame(data1.ImportantEvents[cntr].Item2, data2.ImportantEvents[cntr].Item2, step))
// {
// return false;
// }
//}
//return true;
}
private static void DrawTrainingData_Set(Grid grid, BrainRGBRecognizer.TrainerInput trainingData)
{
var byType = trainingData.ImportantEvents.
ToLookup(o => o.Item1.Type).
OrderBy(o => o.Key.ToString()).
ToArray();
foreach (var typeSet in byType)
{
IEnumerable <double[]> examples = typeSet.
OrderBy(o => o.Item1.Time). // may want to order descending by strength
Select(o => o.Item2);
DrawTrainingData_Classification(grid, typeSet.Key.ToString(), examples, trainingData.Width, trainingData.Height, trainingData.IsColor);
}
if (trainingData.UnimportantEvents.Length > 0)
{
DrawTrainingData_Classification(grid, "<nothing>", trainingData.UnimportantEvents, trainingData.Width, trainingData.Height, trainingData.IsColor);
}
}
