public double[] GenerateArt(int batch_size = 1, int net_size = 16, int h_size = 8, int width = 512, int height = 512, float scaling = 10.0f, bool RGB = true, int?seed = null)
{
int?KeyId = null;
if (seed != null)
{
KeyId = seed;
random = new np.random();
random.seed(KeyId);
}
else
{
KeyId = Math.Abs(DateTime.Now.GetHashCode());
random = new np.random();
random.seed(KeyId);
}
var art = new ArtGenNumpyDotNet();
art.InitialiseCPPN(batch_size, net_size, RGB: RGB);
if (RGB)
{
C_Dim = 3;
}
else
{
C_Dim = 1;
}
var imageData = art.Generate(width, height, scaling);
var imgData = np.array(np.array(1) - imageData);
if (C_Dim > 1)
{
imgData = np.array(imgData.reshape((height, width, C_Dim)) * 255.0);
}
else
{
imgData = np.array(imgData.reshape((height, width)) * 255.0);
}
return(imgData.ToArray <double>());
}
public static void GenerateImageNumpyDotNet(int xwidth = 256, int yheight = 256)
{
var art = new ArtGenNumpyDotNet();
var barray = art.GenerateArt(batch_size: 1, net_size: 8, h_size: 16, width: xwidth, height: yheight, scaling: 5.0f, RGB: false, seed: 040692);
Image <Rgba32> image = new Image <Rgba32>(xwidth, yheight);
var Count = 0;
for (int y = 0; y < xwidth; y++)
{
for (int x = 0; x < yheight; x++)
{
Rgba32 pixel = image[x, y];
pixel.R = (byte)barray[Count];
pixel.G = (byte)barray[Count];
pixel.B = (byte)barray[Count];
pixel.A = 255;
image[x, y] = pixel;
Count++;
}
}
image.Save(@"C:\temp\NumpyTestImg.jpg");
}