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); }