public static void Main(string[] args)
{
PostureRecognition <Skeleton, string> postureRecognition = new PostureRecognition <Skeleton, string>(PatternType.AnglePatternElbowKnee, DataTrainingType.DataTrainingFile, 1000000);
FileStream fs = new FileStream("Test2.txt", FileMode.Create);
// First, save the standard output.
TextWriter tmp = Console.Out;
StreamWriter sw = new StreamWriter(fs);
Console.SetOut(sw);
Console.WriteLine("ITERACION : " + postureRecognition.training() + "-------------------------------------------------------\n");
Console.WriteLine("VIDEO1 " + "-------------------------------------------------------");
File.WriteAllBytes("save.dat", ToByteArray(postureRecognition));
var lista = FromByteArray <List <Skeleton> >(File.ReadAllBytes("TRAINING_DATA2/video"));
foreach (Skeleton skel in lista)
{
var x = postureRecognition.Predict(skel);
if (x != null && x.Length > 0)
{
Console.WriteLine(x);
}
}
//Console.WriteLine("VIDEO2 " + "-------------------------------------------------------");
//lista = FromByteArray<List<Skeleton>>(File.ReadAllBytes("TRAINING_DATA2/video2"));
//foreach (Skeleton skel in lista)
//{
// var x = postureRecognition.Predict(skel);
// if (x != null && x.Length > 0)
// Console.WriteLine(x);
// else
// {
// Console.WriteLine("NO RECONOCIDO");
// }
//}
Console.SetOut(tmp);
sw.Close();
}
private void WindowLoaded(object sender, RoutedEventArgs e)
{
// Create the drawing group we'll use for drawing
this.drawingGroup = new DrawingGroup();
// Create an image source that we can use in our image control
this.imageSource = new DrawingImage(this.drawingGroup);
// Display the drawing using our image control
Image.Source = this.imageSource;
// Look through all sensors and start the first connected one.
// This requires that a Kinect is connected at the time of app startup.
// To make your app robust against plug/unplug,
// it is recommended to use KinectSensorChooser provided in Microsoft.Kinect.Toolkit (See components in Toolkit Browser).
foreach (var potentialSensor in KinectSensor.KinectSensors)
{
if (potentialSensor.Status == KinectStatus.Connected)
{
this.sensor = potentialSensor;
break;
}
}
if (null != this.sensor)
{
TransformSmoothParameters smoothingParam = new TransformSmoothParameters();
smoothingParam.Smoothing = 0.7f;
smoothingParam.Correction = 0.3f;
smoothingParam.Prediction = 1.0f;
smoothingParam.JitterRadius = 1.0f;
smoothingParam.MaxDeviationRadius = 1.0f;
// Turn on the skeleton stream to receive skeleton frames
this.sensor.SkeletonStream.Enable(smoothingParam);
// Add an event handler to be called whenever there is new color frame data
this.sensor.SkeletonFrameReady += this.SensorSkeletonFrameReady;
//------------------------------------------------ CREATE AND SAVE TRAINING RED----------------------------------------
postureRecognition = new PostureRecognition <Skeleton, string>(PatternType.AnglePatternElbowKnee, DataTrainingType.DataTrainingFile, 100000);
postureRecognition.training();
string code = Convert.ToBase64String(ReadWriteObjectFile.ObjectToByteArray(postureRecognition));
DbServices.AddTrainingRed("noveno", code, "posture");
//---------------------------------------------------------------------------------------------------------------------
//------------------------------------------------ LOAD TRAINIG RED FROM DATABASE -------------------------------------
//postureRecognition = ReadWriteObjectFile.FromByteArray<PostureRecognition<Skeleton, string>>(Convert.FromBase64String(DbServices.GetTrainingRed("seven", "posture")));
//---------------------------------------------------------------------------------------------------------------------
//ipAdress = System.Net.IPAddress.Parse("192.168.0.6");
//ipEndpoint = new IPEndPoint(ipAdress, 19834);
//client = new Socket(ipAdress.AddressFamily, SocketType.Stream, ProtocolType.Tcp);
//client.Connect(ipEndpoint);
//ExecuteThreadServiceAsync();
//StartSocketListenner();
// Start the sensor!
try
{
this.sensor.Start();
}
catch (IOException)
{
this.sensor = null;
}
}
/*
* // Turn on the skeleton stream to receive skeleton frames
* this.sensor.SkeletonStream.Enable();
*
* // Add an event handler to be called whenever there is new color frame data
* this.sensor.SkeletonFrameReady += this.SensorSkeletonFrameReady;
*
* // Start the sensor!
* try
* {
* this.sensor.Start();
* }
* catch (IOException)
* {
* this.sensor = null;
* }
* }
*/
if (null == this.sensor)
{
this.statusBarText.Text = Properties.Resources.NoKinectReady;
}
}
