private void Timer_Tick(object sender, EventArgs e)
{
// This uses the eval's duration, and uses a neural net for the trial tick count. This is to recreate what the training actually sees
try
{
imageInput.Source = null;
canvasMain.Children.Clear();
DateTime now = DateTime.UtcNow;
if (_harness == null || _evalArgs == null)
{
_prevTick = now;
return;
}
// Reset
if (_tickCounter >= _evalArgs.TotalNumberEvaluations)
{
#region reset
if (_experiment != null)
{
NeatGenome winner = _ea.CurrentChampGenome;
_genomeViewer.RefreshView(winner);
if (winner == null)
{
_prevTick = now;
return;
}
bool showedHyper = false;
if (_experiment.IsHyperNEAT)
{
var decoder = _experiment.CreateGenomeDecoder(_hyperneatArgs);
if (decoder is HyperNeatDecoder hyperDecoder)
{
//NOTE: There is a flaw. The INetworkDefinition that this method returns is acyclic, but the method that generates the IBlackBox is CreateSubstrateNetwork_FastCyclicNetwork.
//So that INetworkDefinition seems to be limited or incorrect
//
//Actually, that might not be a flaw. The FastCyclic may be processing the CPPN which is cyclic
var finalPhenome = hyperDecoder.Decode2(winner);
_genomeViewer2.RefreshView(finalPhenome.Item2);
nnViewerHost2.Visibility = Visibility.Visible;
showedHyper = true;
}
}
if (!showedHyper)
{
nnViewerHost2.Visibility = Visibility.Collapsed;
}
if (_experiment.IsHyperNEAT)
{
_winningBrain = _experiment.GetBlackBox(winner, _hyperneatArgs);
}
else
{
_winningBrain = _experiment.GetBlackBox(winner);
}
_winningBrainTime = now;
_harness.ClearItem();
_harness.SetItem(AntPos_Evaluator.GetNewItem(_harness, _evalArgs));
_tickCounter = -1;
}
#endregion
}
// Tell the harness to go
_harness.Tick(_evalArgs.ElapsedTime_Seconds);
_tickCounter++;
var prevPosition = _harness.GetPreviousPosition(_harness.Time - _evalArgs.Delay_Seconds);
var currentPosition = _harness.Item;
#region draw input
double[] inputArr = new double[_harness.InputSizeXY * _harness.InputSizeXY];
AntPos_Evaluator.ClearArray(inputArr);
if (prevPosition != null)
{
double dotRadius = (_harness.VisionSize / _harness.InputSizeXY) * Math.Sqrt(2);
AntPos_Evaluator.ApplyPoint(inputArr, _harness.InputCellCenters, dotRadius, prevPosition.Item2, true);
}
imageInput.Source = UtilityWPF.GetBitmap(inputArr, _harness.InputSizeXY, _harness.InputSizeXY, invert: true);
#endregion
#region draw expected output
double[] expectedOutput = null;
if (currentPosition == null)
{
expectedOutput = AntPos_Evaluator.GetExpectedOutput(null, _harness, _evalArgs);
}
else
{
var currentPos = Tuple.Create(currentPosition, currentPosition.Position, currentPosition.Velocity);
expectedOutput = AntPos_Evaluator.GetExpectedOutput(currentPos, _harness, _evalArgs);
}
imageExpectedOutput.Source = UtilityWPF.GetBitmap(expectedOutput, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
#endregion
#region draw nn output
double[] nnOutput = null;
if (_winningBrain != null)
{
nnOutput = new double[_harness.OutputSizeXY * _harness.OutputSizeXY];
// Brain.Tick
_winningBrain.InputSignalArray.CopyFrom(inputArr, 0);
_winningBrain.Activate();
_winningBrain.OutputSignalArray.CopyTo(nnOutput, 0);
imageNNOutput.Source = UtilityWPF.GetBitmap(nnOutput, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
}
else
{
imageNNOutput.Source = null;
}
#endregion
#region draw error (nn - expected)
double[] error = null;
if (nnOutput != null)
{
error = Enumerable.Range(0, nnOutput.Length).
Select(o => Math.Abs(nnOutput[o] - expectedOutput[o])).
ToArray();
imageError.Source = UtilityWPF.GetBitmap(error, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
}
else
{
imageError.Source = null;
}
#endregion
#region draw actual
// Vision Rectangle
Rectangle visionRect = new Rectangle()
{
Stroke = Brushes.Silver,
StrokeThickness = .3,
Width = _harness.VisionSize,
Height = _harness.VisionSize,
};
Canvas.SetLeft(visionRect, _harness.VisionSize / -2);
Canvas.SetTop(visionRect, _harness.VisionSize / -2);
canvasMain.Children.Add(visionRect);
// Dot Previous
if (prevPosition != null)
{
Ellipse dot = new Ellipse()
{
Fill = new SolidColorBrush(prevPosition.Item1.Color),
Stroke = Brushes.Black,
StrokeThickness = .3,
Width = 2,
Height = 2,
};
Canvas.SetLeft(dot, prevPosition.Item2.X - 1);
Canvas.SetTop(dot, prevPosition.Item2.Y - 1);
canvasMain.Children.Add(dot);
}
// Dot Current
if (currentPosition != null)
{
Ellipse dot = new Ellipse()
{
Fill = new SolidColorBrush(currentPosition.Color),
Stroke = Brushes.White,
StrokeThickness = .3,
Width = 2,
Height = 2,
};
Canvas.SetLeft(dot, currentPosition.Position.X - 1);
Canvas.SetTop(dot, currentPosition.Position.Y - 1);
canvasMain.Children.Add(dot);
}
// Transform
TransformGroup transform = new TransformGroup();
transform.Children.Add(new ScaleTransform(canvasMain.ActualWidth / _harness.MapSize, canvasMain.ActualHeight / _harness.MapSize));
transform.Children.Add(new TranslateTransform(canvasMain.ActualWidth / 2, canvasMain.ActualHeight / 2));
canvasMain.RenderTransform = transform;
#endregion
_prevTick = now;
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void Timer_Tick_REAL(object sender, EventArgs e)
{
// This uses actual time elapsed, and runs continuously, grabbing a new neural net every 10 seconds
try
{
imageInput.Source = null;
canvasMain.Children.Clear();
DateTime now = DateTime.UtcNow;
if (_harness == null)
{
_prevTick = now;
return;
}
// Tell the harness to go
_harness.Tick((now - _prevTick).TotalSeconds);
var prevPosition = _harness.GetPreviousPosition(_harness.Time - _evalArgs.Delay_Seconds);
var currentPosition = _harness.Item;
if (_experiment != null && (_winningBrain == null || (now - _winningBrainTime).TotalSeconds > 10))
{
NeatGenome winner = _ea.CurrentChampGenome;
_genomeViewer.RefreshView(winner);
_winningBrain = _experiment.GetBlackBox(winner);
_winningBrainTime = now;
}
#region draw input
double[] inputArr = new double[_harness.InputSizeXY * _harness.InputSizeXY];
AntPos_Evaluator.ClearArray(inputArr);
if (prevPosition != null)
{
double dotRadius = (_harness.VisionSize / _harness.InputSizeXY) * Math.Sqrt(2);
AntPos_Evaluator.ApplyPoint(inputArr, _harness.InputCellCenters, dotRadius, prevPosition.Item2, true);
}
imageInput.Source = UtilityWPF.GetBitmap(inputArr, _harness.InputSizeXY, _harness.InputSizeXY, invert: true);
#endregion
#region draw expected output
double[] expectedOutput = null;
if (currentPosition == null)
{
expectedOutput = AntPos_Evaluator.GetExpectedOutput(null, _harness, _evalArgs);
}
else
{
var currentPos = Tuple.Create(currentPosition, currentPosition.Position, currentPosition.Velocity);
expectedOutput = AntPos_Evaluator.GetExpectedOutput(currentPos, _harness, _evalArgs);
}
imageExpectedOutput.Source = UtilityWPF.GetBitmap(expectedOutput, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
#endregion
#region draw nn output
double[] nnOutput = null;
if (_winningBrain != null)
{
nnOutput = new double[_harness.OutputSizeXY * _harness.OutputSizeXY];
// Brain.Tick
_winningBrain.InputSignalArray.CopyFrom(inputArr, 0);
_winningBrain.Activate();
_winningBrain.OutputSignalArray.CopyTo(nnOutput, 0);
imageNNOutput.Source = UtilityWPF.GetBitmap(nnOutput, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
}
else
{
imageNNOutput.Source = null;
}
#endregion
#region draw error (nn - expected)
double[] error = null;
if (nnOutput != null)
{
error = Enumerable.Range(0, nnOutput.Length).
Select(o => Math.Abs(nnOutput[o] - expectedOutput[o])).
ToArray();
imageError.Source = UtilityWPF.GetBitmap(error, _harness.OutputSizeXY, _harness.OutputSizeXY, invert: true);
}
else
{
imageError.Source = null;
}
#endregion
#region draw actual
// Vision Rectangle
Rectangle visionRect = new Rectangle()
{
Stroke = Brushes.Silver,
StrokeThickness = .3,
Width = _harness.VisionSize,
Height = _harness.VisionSize,
};
Canvas.SetLeft(visionRect, _harness.VisionSize / -2);
Canvas.SetTop(visionRect, _harness.VisionSize / -2);
canvasMain.Children.Add(visionRect);
// Dot Previous
if (prevPosition != null)
{
Ellipse dot = new Ellipse()
{
Fill = new SolidColorBrush(prevPosition.Item1.Color),
Stroke = Brushes.Black,
StrokeThickness = .3,
Width = 2,
Height = 2,
};
Canvas.SetLeft(dot, prevPosition.Item2.X - 1);
Canvas.SetTop(dot, prevPosition.Item2.Y - 1);
canvasMain.Children.Add(dot);
}
// Dot Current
if (currentPosition != null)
{
Ellipse dot = new Ellipse()
{
Fill = new SolidColorBrush(currentPosition.Color),
Stroke = Brushes.White,
StrokeThickness = .3,
Width = 2,
Height = 2,
};
Canvas.SetLeft(dot, currentPosition.Position.X - 1);
Canvas.SetTop(dot, currentPosition.Position.Y - 1);
canvasMain.Children.Add(dot);
}
// Transform
TransformGroup transform = new TransformGroup();
transform.Children.Add(new ScaleTransform(canvasMain.ActualWidth / _harness.MapSize, canvasMain.ActualHeight / _harness.MapSize));
transform.Children.Add(new TranslateTransform(canvasMain.ActualWidth / 2, canvasMain.ActualHeight / 2));
canvasMain.RenderTransform = transform;
#endregion
_prevTick = now;
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
