def __init__(self,
prev,
curr,
templates,
callback=None,
match_threshold=0.8):
"""
State machine for hand gesture recognition.
Callback is called with the parameters:
query : array_like
The set of (x,y) points that represent the hand path
template : array_like
The best matching template gesture
score : float
The matching score (in range [0,1] with 1 being perfect match)
theta : float
The rotation of the gesture that gave the best match
clsid : int
The ID of the template class that matched best
Parameters
----------
imshape : tuple
The dimensions tuple of the image stream
templates : string, h5py.File
h5py.File instance or path to the h5 dataset of template gestures to use
callback : function
Callback function called when a gesture match is made
"""
super(self.__class__, self).__init__(self.Wait)
self.callback = callback
self.match_threshold = match_threshold
if isinstance(templates, basestring):
self.template_ds = h5py.File(templates, 'r')
else:
self.template_ds = templates
self.segmenter = SkinMotionSegmenter(prev, curr)
self.detector = ConvexityHandDetector()
self.tracker = CrCbMeanShiftTracker()
self.imshape = prev.shape
self.counter = 0
self.waypts = []
