public GenerationResponse(Core.ImageGenetic imageGenetic)
{
Images = new List <object>();
var state = imageGenetic.CurrentState;
var pngImages = state.PopulationAptitudes;
foreach (var image in pngImages)
{
string encodedImage = Convert.ToBase64String(image.Item2);
var x = new { Aptitude = image.Item1, Image = encodedImage };
Images.Add(x);
}
Generations = state.Generations;
Done = state.Done;
TimedOut = state.TimedOut;
SecondsElapsed = state.SecondsElapsed;
}
static void Main(string[] args)
{
/*var x = ImageGenetic.Core.ImageProcessing.FromRGBToHSL(255, 0, 0);
* var y = ImageGenetic.Core.ImageProcessing.FromRGBToHSL(255, 255, 0);
* var z = ImageGenetic.Core.ImageProcessing.FromRGBToHSL(0, 0, 255);*/
//Console.WriteLine("{0} {1} {2}", x.Item1, y.Item1, z.Item1);
//int resolution = 1024;
var proc = new Core.ImageGenetic(10, 100);
proc.Start();
int i = 0;
foreach (var image in proc.PopulationBitmaps)
{
image.Save("test-" + proc.Aptitudes[i] + "-" + image.GetHashCode() + ".png");
i++;
}
Console.WriteLine("done");
}
public Generation(GenerationParameters parameters)
{
time = DateTimeOffset.UtcNow;
generation = new Core.ImageGenetic(parameters.PopulationSize, parameters.ResolutionSquare, parameters.MinimalAptitude, parameters.TimeoutMinutes);
}
public Generation(int populationSize = 10, int resolutionSquare = 50, double minimalAptitude = 0.99, int timeoutMinutes = 1)
{
time = DateTimeOffset.UtcNow;
generation = new Core.ImageGenetic(populationSize, resolutionSquare, minimalAptitude, timeoutMinutes);
}
