/// <summary>
/// Initialize this joint predictor.
/// </summary>
/// <param name="modelFileName">The file name of the neural network model</param>
/// <param name="handTemplate">The hand template associated with this predictor</param>
public JointPredictor(string modelFileName, HandTemplate handTemplate)
{
model = new NeuralNetwork(modelFileName);
this.handTemplate = handTemplate;
features = new List <string>();
featureComponents = new List <Vector3>();
}
public MovingAverageOcclusionPredictor(int windowSize, HandTemplate handTemplate)
{
speeds = new Dictionary <string, Queue <Vector3> >();
foreach (var marker in handTemplate.MarkerList)
{
speeds[marker] = new Queue <Vector3>(windowSize);
}
this.windowSize = windowSize;
}
/// <summary>
/// Initialize this predictor.
/// </summary>
/// <param name="modelFileName">The file name of the neural network model to import.</param>
/// <param name="handTemplate">The hand template to use with this predictor.</param>
/// <param name="useOffset">Use offset to correct occlusion discontinuities (default: true).</param>
/// <param name="smoothing">Use offset to correct re-entry discontinuities (default: true).</param>
public NeuralOcclusionPredictor(string modelFileName, HandTemplate handTemplate, bool useOffset = true, bool smoothing = true)
{
model = new NeuralNetwork(modelFileName);
this.handTemplate = handTemplate;
offsets = new Dictionary <string, Vector3>();
foreach (var marker in handTemplate.MarkerList)
{
offsets[marker] = Vector3.zero;
}
this.useOffset = useOffset;
this.smoothing = smoothing;
}