// get the probability of the pose given by data based on the
// gaussian associated with a single data item
public float getProbability(MotionDataItem gaussian, float [] data)
{
// calculation for the gaussian distribution
float coef = (float)(1.0 / Math.Pow(2 * Math.PI, gaussian.data.Length / 2.0));
coef = (float)(coef * 1.0f / (Math.Pow(defaultSigma, gaussian.data.Length / 2.0f)));
float product = 0.0f;
for (int i = 0; i < data.Length; i++)
{
//Debug.Log ("data " + data[i] + " " + gaussian.data[i] + " " + defaultSigma);
product += (data[i] - gaussian.data[i]) * (data[i] - gaussian.data[i]) / defaultSigma;
}
//Debug.Log ("product " + product);
float p = (float)(coef * Math.Exp(-0.5f * product));
if (Double.IsInfinity(p) || Double.IsNaN(p))
{
Debug.LogWarning("NaN probabilitiy " + p + " " + gaussian.label + " " + gaussian.time);
return(0.0f);
//throw new Exception ("Calculated probability is NaN");
}
// save the last probability
// (used for scaling the thumbnails)
gaussian.lastProbability = p;
return(p);
}
// add a new posture to the data set
// parameters are:
// label - the class label to attach to the posture
// clip - the animation clip containing the posture
// time - the time at which it appears
// tex - the texture to use for displaying the posture
// selectedTex - the texture to use for displaying the posture when selected
public int AddPosture(string label, string clip, float time, Texture2D tex, Texture2D selectedTex)
{
// turn the posture into animation data
float [] data = GetDataInstanceFromAnimation(clip, time);
// get the label ID of the posture
// (checking for labels that don't exist)
int labelId = -1;
if (label == "")
{
labelId = -1;
}
else
{
labelId = GetClassId(label);
if (labelId < 0)
{
return(-1);
}
}
// resize the DataItems array, adding a new item at the end
MotionDataItem [] newDataItems = new MotionDataItem[m_DataItems.Length + 1];
for (int i = 0; i < m_DataItems.Length; i++)
{
newDataItems[i] = m_DataItems[i];
}
m_DataItems = newDataItems;
m_DataItems[m_DataItems.Length - 1] = new MotionDataItem {
label = label, clip = clip, time = time, labelIndex = labelId, data = data, lastProbability = 0, tex = tex, selectedTex = selectedTex
};
m_DataItems [m_DataItems.Length - 1].parameterValues = new ContinuousParameter[parameters.Length];
for (int i = 0; i < m_DataItems [m_DataItems.Length - 1].parameterValues.Length; i++)
{
m_DataItems [m_DataItems.Length - 1].parameterValues[i] = new ContinuousParameter();
m_DataItems [m_DataItems.Length - 1].parameterValues[i].name = parameters[i].name;
m_DataItems [m_DataItems.Length - 1].parameterValues[i].value = parameters[i].value;
}
// return the id of the posture
int id = m_DataItems.Length - 1;
return(id);
}
