(self, sample)
return ret
Normalize sample to metric 3D
        :param sample: joints in (x,y,z) with x,y in image coordinates and z in mm
        :return: normalized joints in mm
Normalize sample to metric 3D
        :param sample: joints in (x,y,z) with x,y in image coordinates and z in mm
        :return: normalized joints in mm
Normalize sample to metric 3D : param sample : joints in ( x y z ) with x y in image coordinates and z in mm : return : normalized joints in mm
def jointsImgTo3D(self, sample):
        """
        Normalize sample to metric 3D
        :param sample: joints in (x,y,z) with x,y in image coordinates and z in mm
        :return: normalized joints in mm
        """
        ret = np.zeros((sample.shape[0], 3), np.float32)
        for i in xrange(sample.shape[0]):
            ret[i] = self.jointImgTo3D(sample[i])
        return ret
def jointsImgTo3D ( self , sample ) : ret = np . zeros ( ( sample . shape [ 0 ] , 3 ) , np . float32 ) for i in xrange ( sample . shape [ 0 ] ) : ret [ i ] = self . jointImgTo3D ( sample [ i ] ) return ret