public unsafe void CompareImages(Individual individual, Color[,] originalColours)
{
double fitness = 0;
using (Bitmap bit = new Bitmap(_imageWidth, _imageHeight, PixelFormat.Format24bppRgb))
{
using Graphics graphics = Graphics.FromImage(bit);
ImageRenderer.DrawImage(individual, graphics);
BitmapData bitmapData = bit.LockBits(new Rectangle(0, 0, _imageWidth, _imageHeight), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
byte bytesPerPixel = 3;
byte *scan0 = (byte *)bitmapData.Scan0.ToPointer();
int stride = bitmapData.Stride;
for (int j = 0; j < _imageHeight; j++)
{
byte *row = scan0 + (j * stride);
for (int i = 0; i < _imageWidth; i++)
{
int bIndex = i * bytesPerPixel;
int gIndex = bIndex + 1;
int rIndex = bIndex + 2;
byte oRed = originalColours[i, j].R;
byte oGreen = originalColours[i, j].G;
byte oBlue = originalColours[i, j].B;
byte gRed = row[rIndex];
byte gGreen = row[gIndex];
byte gBlue = row[bIndex];
fitness += Math.Sqrt(Math.Pow(oRed - gRed, 2) + Math.Pow(oGreen - gGreen, 2) + Math.Pow(oBlue - gBlue, 2));
}
}
bit.UnlockBits(bitmapData);
}
individual.Adaptation = (_dMax - fitness) / _dMax * 100;
}
private void ShowDataImages(object sender, IndividualEventArgs e)
{
Dispatcher.Invoke(delegate
{
if (_tmpIndividual == null || _originalBitmap == null)
{
return;
}
lock (_tmpIndividual)
{
if (_bestOfAllIndividual == null)
{
_bestOfAllIndividual = _tmpIndividual.CloneIndividual();
_newBestIndividual = true;
}
if (_bestOfAllIndividual.Adaptation < _tmpIndividual.Adaptation)
{
_bestOfAllIndividual = _tmpIndividual.CloneIndividual();
_newBestIndividual = true;
dataChartList.Add(new ChartKeyValue()
{
Key = _bestOfAllIndividual.Generation, Value = _bestOfAllIndividual.Adaptation
});
}
_topGenerationIndividual = _tmpIndividual.CloneIndividual();
}
using (var bit = new Bitmap(_originalBitmap.Width, _originalBitmap.Height))
{
this.actualGeneticImage.Source = null;
Graphics graphics = Graphics.FromImage(bit);
graphics.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
ImageRenderer.DrawImage(_topGenerationIndividual, graphics);
bit.Save("topGenerationIndividual.png", ImageFormat.Png);
if (_newBestIndividual == true)
{
this.bestGeneticImage.Source = null;
bit.Save("topIndividual.png", ImageFormat.Png);
}
}
var bitmap = new BitmapImage();
var stream = File.OpenRead("topGenerationIndividual.png");
bitmap.BeginInit();
bitmap.CacheOption = BitmapCacheOption.OnLoad;
bitmap.StreamSource = stream;
bitmap.EndInit();
stream.Close();
stream.Dispose();
_generation = _topGenerationIndividual.Generation;
_killedChilds = AlgorithmInformation.KilledChilds;
this._bestFitness = Math.Round(_bestOfAllIndividual.Adaptation, 2);
this._currentFitness = Math.Round(_topGenerationIndividual.Adaptation, 2);
this._mutationChance = AlgorithmInformation.MutationChance;
this._mutationType = (int)AlgorithmInformation.MutationType;
this.actualGeneticImage.Source = bitmap;
this.generation.Content = "Generation: " + _topGenerationIndividual.Generation.ToString();
this.currentFitness.Content = "Current fitness: " + Math.Round(_topGenerationIndividual.Adaptation, 2).ToString() + "%";
this.populationLabel.Content = "Population: " + AlgorithmInformation.Population;
this.eliteLabel.Content = "Elite: " + AlgorithmInformation.Elite;
this.mutationTypeLabel.Content = "Mutation type: " + AlgorithmInformation.MutationType.ToString();
this.mutationChanceLabel.Content = "Mutation chance: " + AlgorithmInformation.MutationChance.ToString() + "%";
this.killedChildsLabel.Content = "Killed childs: " + AlgorithmInformation.KilledChilds;
_shapesAmount = (int)this.ShapesAmountSlider.Value;
if (this.mutationDynamicRadio.IsChecked ?? false)
{
this.dinamicallyMutationLabel.Content = "Dynamic mutation: YES";
this._dunamicMutation = 1;
}
else
{
this.dinamicallyMutationLabel.Content = "Dynamic mutation: NO";
this._dunamicMutation = 0;
}
if (this.twoParentRadio.IsChecked ?? false)
{
this.reproductionTypeLabel.Content = "Reproduction: Two-parents";
}
else
{
this.reproductionTypeLabel.Content = "Reproduction: Single-parent";
}
if (_newBestIndividual == true)
{
var bitmap1 = new BitmapImage();
var stream1 = File.OpenRead("topIndividual.png");
bitmap1.BeginInit();
bitmap1.CacheOption = BitmapCacheOption.OnLoad;
bitmap1.StreamSource = stream1;
bitmap1.EndInit();
stream1.Close();
stream1.Dispose();
this.bestGeneticImage.Source = bitmap1;
this.bestFitness.Content = "Best fitness: " + Math.Round(_bestOfAllIndividual.Adaptation, 2).ToString() + "%";
_newBestIndividual = false;
}
});
}
