public void Execute(IExampleInterface app)
{
double[] firstinput = MakeInputs(150);
double[] SecondInput = MakeInputs(150);
double[] ThirdInputs = MakeInputs(150);
double[] ideals = MakeInputs(150);
//our set holds both the normilization and the imldataset, we can put as many inputs as needed.
var set = EasyData.Load(ideals, WindowSize, firstinput, SecondInput, ThirdInputs, ideals);
var network = EncogUtility.SimpleFeedForward(4, 100, 1, 1, false);
EncogUtility.TrainConsole(network, set.Item1, 22.1);
//Simulate live data ..
double[] live1 = MakeInputs(150);
double[] Live2 = MakeInputs(150);
double[] live3 = MakeInputs(150);
var computes = EasyData.GetReadiedComputePair(WindowSize, live1, Live2, live3);
Console.WriteLine("Network computed denormalized : " + computes.Item2.Stats.DeNormalize(network.Compute(new BasicMLData(computes.Item1.ToArray()))[0]));
}
static void Main(string[] args)
{
EasyDecoder decoder = EasyDecoder.Default(bitsPerChannel: 6, fullRange: false);
EasyData data = null;
try
{
data = decoder.Decode(new ImageData(args[0], 10, 75));
}
catch (System.Exception e)
{
Console.Out.WriteLine("Error " + e.ToString());
data = null;
}
if (null != data)
{
CameraData cameraData = data.CameraData;
Console.Out.WriteLine("T={0}, X={1}, Y={2}, Z={3}, XR={4}, YR={5}, ZR={6}, FOV={7}", cameraData.Time, cameraData.XPosition, cameraData.YPosition, cameraData.ZPosition, cameraData.XRotation, cameraData.YRotation, cameraData.ZRotation, cameraData.Fov);
}
System.Console.ReadLine();
}
