Beispiel #1
0
 def __init__(self, file):
     self.parser = BvhImport(file)
     ##dtCycleProp = DTWalkPreCyclePropertyLR(file)
     ##dtCycleProp = DTWalkCycleStartingLeftFootProperty(file)
     #dtCycleProp = DTWalkPreCyclePropertyRL(file)
     dtCycleProp = DTWalkCycleStartingRightFootProperty(file)
     self.start = dtCycleProp.getIndividualStart()
     self.end = dtCycleProp.getIndividualEnd()
     self.direction = dtCycleProp.getMoveDirection()
     conf = LoadSystemConfiguration()
     self.skipping = int(conf.getProperty("number of frames to skip"))
 def __init__(self, file):
     self.parser = BvhImport(file)
Beispiel #3
0
class JointCalculation:
    def __init__(self, file):
        self.parser = BvhImport(file)
        ##dtCycleProp = DTWalkPreCyclePropertyLR(file)
        ##dtCycleProp = DTWalkCycleStartingLeftFootProperty(file)
        #dtCycleProp = DTWalkPreCyclePropertyRL(file)
        dtCycleProp = DTWalkCycleStartingRightFootProperty(file)
        self.start = dtCycleProp.getIndividualStart()
        self.end = dtCycleProp.getIndividualEnd()
        self.direction = dtCycleProp.getMoveDirection()
        conf = LoadSystemConfiguration()
        self.skipping = int(conf.getProperty("number of frames to skip"))

    def angle(self,v):
        #v is a time serie, so we have to iterate in time
        for i in xrange(len(v)):
            if v[i].imag >=0:
                v[i]=angle(v[i], True) #angle second argument is for operate with degrees instead of radians
            else:
                v[i]=180+angle(-v[i], True) #angle second argument is for operate with degrees instead of radians
        return v

    def calculateLeftSagital(self, joint1, joint2, joint3):
        if self.direction == sysConstants.RIGHT_TO_LEFT:
            return self.calculateLeftSagitalImplementation(joint1, joint2, joint3)
        else:
            return self.calculateRightSagitalImplementation(joint1, joint2, joint3)

    def calculateRightSagital(self, joint1, joint2, joint3):
        if self.direction == sysConstants.RIGHT_TO_LEFT:
            #return self.calculateRightSagitalImplementation(joint1, joint2, joint3) video 1
            return self.calculateLeftSagitalImplementation(joint1, joint2, joint3)
        else:
            #return self.calculateLeftSagitalImplementation(joint1, joint2, joint3) video1
            return self.calculateRightSagitalImplementation(joint1, joint2, joint3)

    #calculates the angle in the sagital plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise
    def calculateLeftSagitalImplementation(self, joint1, joint2, joint3):
        #with points 1, 2 and 3 
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1, self.start, self.end, self.skipping)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2, self.start, self.end, self.skipping)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3, self.start, self.end, self.skipping)
        #as we are calculating in the sagital plane only z and y components are used as they describe this plane
        az1 = array(z1.values())
        az2 = array(z2.values())
        az3 = array(z3.values())
        ay1 = array(y1.values())
        ay2 = array(y2.values())
        ay3 = array(y3.values())
        #u vector, is the projection in the sagital plane of the j2 to j1 vector, 
        #complex number is usded for the sake of simplicity
        u = (ay2 - ay1) + 1j*(az2 - az1)
        #v vector, is the projection in the sagital plane of the j3 to j1 vector, 
        #complex number is usded for the sake of simplicity
        v = (ay3 - ay1) + 1j*(az3 - az1)
        #the angle with respect two x axis of the product of two complex numbers 
        #corresponds with the sum of the angle with x axis of each number
        r = self.angle(u*conjugate(v))
        return r.real

    def calculateRightSagitalImplementation(self, joint1, joint2, joint3):
        #with points 1, 2 and 3 
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1, self.start, self.end, self.skipping)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2, self.start, self.end, self.skipping)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3, self.start, self.end, self.skipping)
        #as we are calculating in the sagital plane only z and y components are used as they describe this plane
        az1 = array(z1.values())
        az2 = array(z2.values())
        az3 = array(z3.values())
        ay1 = array(y1.values())
        ay2 = array(y2.values())
        ay3 = array(y3.values())
        #u vector, is the projection in the sagital plane of the j2 to j1 vector, 
        #complex number is usded for the sake of simplicity
        u = (ay2 - ay1) + 1j*(az2 - az1)
        #v vector, is the projection in the sagital plane of the j3 to j1 vector, 
        #complex number is usded for the sake of simplicity
        v = (ay3 - ay1) + 1j*(az3 - az1)
        #the angle with respect two x axis of the product of two complex numbers 
        #corresponds with the sum of the angle with x axis of each number
        r = self.angle(u*conjugate(v))
        return 360 - r.real

    #calculates the angle in the frontal plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise
    #WARNING Blender swaps Z and Y axis
    def calculateTransversal(self, joint1, joint2, joint3):
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1, self.start, self.end, self.skipping)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2, self.start, self.end, self.skipping)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3, self.start, self.end, self.skipping)
        az1 = array(z1.values())
        az2 = array(z2.values())
        az3 = array(z3.values())
        ax1 = array(x1.values())
        ax2 = array(x2.values())
        ax3 = array(x3.values())
        #see comments in calculateSagital
        u = (ax2 - ax1) + 1j*(az2 - az1)
        v = (ax3 - ax1) + 1j*(az3 - az1)
        r = self.angle(u*conjugate(v))
        return r.real

    #calculates the angle in the transversal plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise
    #WARNING Blender swaps Z and Y axis
    def calculateFrontal(self, joint1, joint2, joint3):
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1, self.start, self.end, self.skipping)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2, self.start, self.end, self.skipping)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3, self.start, self.end, self.skipping)
        ay1 = array(y1.values())
        ay2 = array(y2.values())
        ay3 = array(y3.values())
        ax1 = array(x1.values())
        ax2 = array(x2.values())
        ax3 = array(x3.values())
        #see comments in calculateSagital
        u = (ax2 - ax1) + 1j*(ay2 - ay1)
        v = (ax3 - ax1) + 1j*(ay3 - ay1)
        r = self.angle(u*conjugate(v))
        return r.real
class JointCalculation:
    def __init__(self, file):
        self.parser = BvhImport(file)

    def angle(self,v):
        #v is a time serie, so we have to iterate in time
        for i in xrange(len(v)):
            if v[i].imag >=0:
    	        v[i]=angle(v[i], True) #angle second argument is for operate with degrees instead of radians
            else:
                v[i]=180+angle(-v[i], True) #angle second argument is for operate with degrees instead of radians
        return v

    #calculates the angle in the sagital plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise
    def calculateSagital(self, joint1, joint2, joint3):
        #with points 1, 2 and 3 
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3)
        #as we are calculating in the sagital plane only z and y components are used as they describe this plane
        az1 = array(z1.values())
        az2 = array(z2.values())
        az3 = array(z3.values())
        ay1 = array(y1.values())
        ay2 = array(y2.values())
        ay3 = array(y3.values())
        #u vector, is the projection in the sagital plane of the j2 to j1 vector, 
        #complex number is usded for the sake of simplicity
        u = (ay2 - ay1) + 1j*(az2 - az1)
        #v vector, is the projection in the sagital plane of the j3 to j1 vector, 
        #complex number is usded for the sake of simplicity
        v = (ay3 - ay1) + 1j*(az3 - az1)
        #the angle with respect two x axis of the product of two complex numbers 
        #corresponds with the sum of the angle with x axis of each number
        r = self.angle(u*conjugate(v))
        return r.real

    #calculates the angle in the frontal plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise 
    #WARNING Blender swaps Z and Y axis
    def calculateTransversal(self, joint1, joint2, joint3):
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3)    
        az1 = array(z1.values())
        az2 = array(z2.values())
        az3 = array(z3.values())
        ax1 = array(x1.values())
        ax2 = array(x2.values())
        ax3 = array(x3.values())
        #see comments in calculateSagital
        u = (ax2 - ax1) + 1j*(az2 - az1)
        v = (ax3 - ax1) + 1j*(az3 - az1)
        r = self.angle(u*conjugate(v))
        return r.real

    #calculates the angle in the transversal plane generated with the vectors j3 to j1 and j2 to j1 in anti clockwise
    #WARNING Blender swaps Z and Y axis
    def calculateFrontal(self, joint1, joint2, joint3):
        x1, y1, z1 = self.parser.getNodePositionsFromName(joint1)
        x2, y2, z2 = self.parser.getNodePositionsFromName(joint2)
        x3, y3, z3 = self.parser.getNodePositionsFromName(joint3)    
        ay1 = array(y1.values())
        ay2 = array(y2.values())
        ay3 = array(y3.values())
        ax1 = array(x1.values())
        ax2 = array(x2.values())
        ax3 = array(x3.values())
        #see comments in calculateSagital
        u = (ax2 - ax1) + 1j*(ay2 - ay1)
        v = (ax3 - ax1) + 1j*(ay3 - ay1)
        r = self.angle(u*conjugate(v))
        return r.real