private UnifiedCameraNeuralNetwork[] _neuralNets; // A network for each pair of camaras (main camera and camera i)
/// <summary>
/// Creates a new calibration object.
/// Calibration will occur for the session that was recorded at sessionTimestamp using the numOfCameras defined.
/// </summary>
/// <param name="sessionTimestamp"> Timestamp of the session recorded </param>
/// <param name="numOfCameras"> Number of cameras in the recording </param>
public Calibration(DateTime sessionTimestamp, int numOfCameras, SkelDisplay display)
{
// Non configurable ANN parameters (each network maps a pair of cameras)
// The input is one of the cameras, the output is the absolute camera.
_neuralNets = new UnifiedCameraNeuralNetwork[numOfCameras];
int inputLayerSize = SkelJointsData.numOfJoints * 3;
int outputLayerSize = inputLayerSize;
// Configurable ANN parameters
int hiddenLayerSize = inputLayerSize * inputLayerSize;
float learningRate = 0.15f;
bool isStochastic = true;
float momentum = 0.1f;
// Create an ANN for each pair of cameras
for (int i = 0; i < numOfCameras - 1; i++)
{
_neuralNets[i] = new UnifiedCameraNeuralNetwork(inputLayerSize, hiddenLayerSize, outputLayerSize,
learningRate, isStochastic, momentum);
}
_numOfCameras = numOfCameras;
_display = display;
_replay = new SkelReplay(sessionTimestamp, numOfCameras);
}
/// <summary>
/// Initializes a new instance of the MainWindow class.
/// </summary>
public MainWindow()
{
this.skelRec = new SkelRecorder();
this.skelDisp = new SkelDisplay(null);
InitializeComponent();
// TODO: Delete this
if (isTesting)
{
AnnTester.initNeuralNetworkTest();
}
try
{
if (!isTesting)
{
if (isRecord)
{
Client.BeginReceive(new AsyncCallback(recv), null);
}
else
{
this.calibration = new Calibration(SESSION_TIMESTAMP, numOfCameras, this.skelDisp);
}
}
}
catch (Exception e)
{
Debug.WriteLine(e.ToString());
}
}
/// <summary>
/// Execute startup tasks
/// </summary>
/// <param name="sender">object sending the event</param>
/// <param name="e">event arguments</param>
private void WindowLoaded(object sender, RoutedEventArgs e)
{
// 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)
{
// 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();
//byte[] coordMapperParams = this.sensor.CoordinateMapper.ColorToDepthRelationalParameters.ToArray<byte>();
//File.WriteAllBytes("Coord_Mapper_Params.txt", coordMapperParams);
}
catch (IOException)
{
this.sensor = null;
}
this.skelDisp = new SkelDisplay(this.sensor);
Image.Source = this.skelDisp.imageSource;
}
else // (null == this.sensor)
{
this.statusBarText.Text = Microsoft.Samples.Kinect.SkeletonClient.Properties.Resources.NoKinectReady;
}
}
