private float[,] DoTrain(ref GestureDetector gd)
{
/* arrange the key frame data in m_skRecorder.m_dataList */
m_postFeature.Reset();
m_postFeature.RegisterJoints(m_jointIdx); // set the feature type and joint indices to calculate features
for (int i = 0; i < m_skRecorder.FrameCount; i++)
{
int tag = m_skRecorder.m_tagList[i];
if (tag == 0)
{
continue;
}
CopyCurFrameJointDataRef(i);
m_postFeature.UpdateFeatures(); // calculate the features
for (int j = 0; j < JointCount; j++)
{
gd.m_posts[tag - 1][j].AddTrainData(m_postFeature.m_jointVec[(int)m_jointIdx[j]]);
}
}
/* train the posture templates */
float[,] stdArray = new float[m_tagCount, JointCount];
for (int i = 0; i < m_tagCount; i++)
{
for (int j = 0; j < JointCount; j++)
{
stdArray[i, j] = gd.m_posts[i][j].Train();
}
}
// train time interval coefficients
TrainTimeIntv(gd);
return(stdArray);
}
/// initializer. called after LoadFromFile is called
public void Init(JointFeature pf)
{
if (m_posts == null)
{
throw new Exception("the PostureDetector members should be initialized first.");
}
m_postFeature = pf;
m_fsm = new FSM(PostureCount, m_intervals, m_intvThres);
m_fsm.m_thresMul = m_thresMulTimeIntv;
m_isPostDet = new bool[PostureCount];
m_postFeature.RegisterJoints(m_jointIdx);
// more initialization for the relative joint matcher
for (int i = 0; i < PostureCount; i++)
{
for (int j = 0; j < m_posts[i].JointCount; j++)
{
m_posts[i][j].m_thresMul = m_thresMulPerPost[i] * m_thresMulPerJoint[j];
JointMatcherR jmr = m_posts[i][j] as JointMatcherR;
if (jmr != null)
{
jmr.SetLastPostJoint(this, i, j);
}
}
m_posts[i].Init(pf); // should be called after m_posts[i][j].m_thresMul is initialized
}
}