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;
}
//TODO: This should store results in dna
public static void AssignCameras(BrainRGBRecognizer[] recognizers, CameraColorRGB[] cameras)
{
if (cameras != null)
{
foreach (CameraColorRGB camera in cameras)
{
camera.NeuronContainerType = NeuronContainerType.Sensor;
}
}
if (recognizers == null || recognizers.Length == 0)
{
return;
}
foreach (BrainRGBRecognizer recognizer in recognizers)
{
recognizer.SetCamera(null);
}
if (cameras == null || cameras.Length == 0)
{
return;
}
// Call linker
LinkItem[] recogItems = recognizers.
Select(o => new LinkItem(o.Position, o.Radius)).
ToArray();
LinkItem[] cameraItems = cameras.
Select(o => new LinkItem(o.Position, o.Radius)).
ToArray();
Tuple<int, int>[] links = ItemLinker.Link_1_2(cameraItems, recogItems, new ItemLinker_OverflowArgs());
// Assign cameras
foreach (var link in links)
{
recognizers[link.Item2].SetCamera(cameras[link.Item1]);
cameras[link.Item1].NeuronContainerType = NeuronContainerType.None; // this recognizer will now be this camera's output
}
}
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);
}
}