public static Texture2D imageFromNet(NN.Net net)
{
List <Vector3> path = simulateNet(net);
Texture2D imageRes = new Texture2D(128, 128, TextureFormat.Alpha8, false);
//imageRes.alphaIsTransparency = true;
float scale = 5.0f;
Vector2 zeroPoint = new Vector2(64, 64);
for (int i = 0; i < path.Count - 1; i++)
{
Vector2 path1 = new Vector2(path[i].x, path[i].z) * scale;
Vector2 path2 = new Vector2(path[i + 1].x, path[i + 1].z) * scale;
Color32 color = Color.HSVToRGB((float)i / path.Count, 1f, 1f);
DrawLine(imageRes, zeroPoint + path1,
zeroPoint + path2,
color,
6);
}
imageRes.Apply();
//File.WriteAllBytes(Application.dataPath + Path.DirectorySeparatorChar + "AvatarData.png", imageRes.EncodeToPNG());
return(imageRes);
}
public static List <Vector3> simulateNet(NN.Net net)
{
float dt = Time.fixedDeltaTime;
List <Vector3> path = new List <Vector3>(100);
path.Add(new Vector3(0f, 0f, 0f));
List <float> inputs = new List <float>()
{
0f, 0f, 0f, 1f
};
for (int i = 0; i < 50; ++i)
{
List <float> res = net.evaluate(inputs);
Vector3 v = new Vector3(50 * res[1], 0f, 50 * res[0]);
path.Add(path[path.Count - 1] + v * dt);
inputs[0] = path[path.Count - 1].z;
inputs[1] = path[path.Count - 1].x;
inputs[2] = Vector3.Distance(Vector3.zero, path[path.Count - 1]);
}
return(path);
}
public void buildModel()
{
network = new NN.Net(node_gene, node_connect);
}
