private int TemplateCompute(TemplateFeatures tf)
{
//KNearestNeighbors knn = new KNearestNeighbors()
return(Compute(tf.TemplateFeaturesList));
}
public int TemplateMatch(TemplateFeatures tf)
{
return(TemplateCompute(tf));
}
public int TemplateMatch(Image <Gray, Byte> template, TemplateFeatures features)
{
_template = template;
int firstNode = _nodeMainTemplate.TemplateMatch(features);
switch (firstNode)
{
case 0: // a chosen
// second stage
int secondNodeA =
_nodeATemplate.TemplateMatch(features.TemplateFeaturesList.ToList().GetRange(0, 3).ToArray());
switch (secondNodeA)
{
case 0: // open chosen
return(TemplateFeatures.CLASSIFICATION_HAND_OPEN);
case 1: // right or left chosen
int thirdNode = _nodeClickTemplate.TemplateMatch(features.TemplateFeaturesList.ToList().GetRange(0, 2).ToArray());
switch (thirdNode)
{
case 0: // left click
return(TemplateFeatures.CLASSIFICATION_HAND_LEFT);
case 1: // right click
return(TemplateFeatures.CLASSIFICATION_HAND_RIGHT);
default:
return(-1);
}
default:
return(-1);
}
case 1: // B chosen
int secondNodeB = _nodeBTemplate.TemplateMatch(features);
switch (secondNodeB)
{
case 0:
return(TemplateFeatures.CLASSIFICATION_HAND_HALT);
case 1:
int thirdNode = _nodeScrollTemplate.TemplateMatch(features);
switch (thirdNode)
{
case 0: // left click
return(TemplateFeatures.CLASSIFICATION_HAND_DOWN);
case 1: // right click
return(TemplateFeatures.CLASSIFICATION_HAND_UP);
default:
return(-1);
}
default:
return(-1);
}
default:
return(-1);
}
}