def classifyGesture(self):
minError = 2**31 - 1 # a large value
minErrorIndex = -1
self.humanGesture = Gesture(self.gesturePoints, "Human Gesture")
likelihoodScores = [0] * len(self.gestures)
assessments = [{}] * len(self.gestures)
for i in xrange(len(self.gestures)):
assessments[i] = Gesture.compareGestures(self.gestures[i],
self.humanGesture)
errorList = [assessments[i][Gesture.totalError] \
for i in xrange(len(assessments))]
index = errorList.index(min(errorList))
# Basic elimination to figure out if result is valid
# show appropriate images in windows
templateGestureRatio = max((self.gestures[index].distance /\
self.humanGesture.distance),
(self.humanGesture.distance /\
self.gestures[index].distance))
distanceDiffRatio = assessments[index][Gesture.totalDistance] /\
min(self.gestures[index].distance,
self.humanGesture.distance)
if templateGestureRatio < 1.25 and distanceDiffRatio < 2:
return index
def classifyGesture(self):
minError = 2**31 - 1 # a large value
minErrorIndex = -1
self.humanGesture = Gesture(self.gesturePoints, "Human Gesture")
likelihoodScores = [0] * len(self.gestures)
assessments = [{}] * len(self.gestures)
for i in xrange(len(self.gestures)):
# print "Calling:", self.gestures[i].name, self.humanGesture.name
assessments[i] = Gesture.compareGestures(self.gestures[i],
self.humanGesture)
# print self.gestures[i].name
# print assessments[i]
errorList = [
assessments[i][Gesture.totalError]
for i in xrange(len(assessments))
]
index = errorList.index(min(errorList))
# Basic elimination to figure out if result is valid
templateGestureRatio = max(
(self.gestures[index].distance / self.humanGesture.distance),
(self.humanGesture.distance / self.gestures[index].distance))
distanceDiffRatio = assessments[index][Gesture.totalDistance] / min(
self.gestures[index].distance, self.humanGesture.distance)
if templateGestureRatio < 1.25 and distanceDiffRatio < 2:
self.gestures[index].action()
def classifyGesture(self):
minError = 2**31 - 1 # a large value
minErrorIndex = -1
self.humanGesture = Gesture(self.gesturePoints, "Human Gesture")
likelihoodScores = [0] * len(self.gestures)
assessments = [{}] * len(self.gestures)
for i in xrange(len(self.gestures)):
assessments[i] = Gesture.compareGestures(self.gestures[i],
self.humanGesture)
errorList = [assessments[i][Gesture.totalError] \
for i in xrange(len(assessments))]
index = errorList.index(min(errorList))
# Basic elimination to figure out if result is valid
templateGestureRatio = max((self.gestures[index].distance /\
self.humanGesture.distance),
(self.humanGesture.distance /\
self.gestures[index].distance))
distanceDiffRatio = assessments[index][Gesture.totalDistance] /\
min(self.gestures[index].distance,
self.humanGesture.distance)
if templateGestureRatio < 1.25 and distanceDiffRatio < 2:
return index