measurements.py

# -*- coding: utf-8 -*-
"""
Created on Thu Aug 17 13:37:34 2017

@author: Diego L.Guarin -- diego_guarin at meei.harvard.edu
"""

import numpy as np    
from scipy.interpolate import UnivariateSpline

"""
here is where all the facial measures are compute. It is mostly rotation of points
with respect to the line that connect the center of the iris, findinf splines 
connecting the points that surround the different elements of the face, and 
where different lines meet those splines (to find borders). Sadly I didn't 
add comments early on and now is difficult to go back.... :/
"""


def estimate_line(circle_left, circle_right):
    #function to estimate the line that connects the center of the eyes and a 
    #new, perpendicular line in the middle point.
        
    x_1=circle_right[0]
    y_1=circle_right[1]
    
    x_2=circle_left[0]
    y_2=circle_left[1]
    
    #find the point in the middle of the line
    x_m=((x_2-x_1)/2)+x_1
    m=(y_2-y_1)/(x_2-x_1)   
    y_m=(y_1+m*(x_m-x_1))
    
    #x_m=int(round(x_m,0))
    #y_m=int(round(y_m,0))
    points=[x_m,y_m]
    
    return m, points

def rotate_axis(points,rot_angle,displacement):
    
    x=points[:,0]
    y=points[:,1]
    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                      [-np.sin(rot_angle), np.cos(rot_angle)]])
    rot_matrix_inv=np.array([[np.cos(rot_angle), -np.sin(rot_angle)],
                      [np.sin(rot_angle), np.cos(rot_angle)]])
 
    rot_x,rot_y=rot_matrix.dot([x-displacement[0],y-displacement[1]])
    
    spline = UnivariateSpline(rot_x,rot_y, s=1)
    
    new_rot_x = 0
    new_rot_y = spline(new_rot_x)
    
    new_x,new_y=rot_matrix_inv.dot([new_rot_x,new_rot_y])
    new_x=new_x+displacement[0]
    new_y=new_y+displacement[1]
    
    new_point=np.array([new_x,new_y])
    
    return new_point


def find_point_in_lips(points_upper, points_lower, points_upper_inside, 
                points_lower_inside, rot_angle, displacement, radius):
    
    #find where a circle with radius (radius) and center in the corner of the
    #lip enconters the spline represinting the upper lip
    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                      [-np.sin(rot_angle), np.cos(rot_angle)]])
    rot_matrix_inv=np.array([[np.cos(rot_angle), -np.sin(rot_angle)],
                      [np.sin(rot_angle), np.cos(rot_angle)]])
    
    x=points_upper[:,0]
    y=points_upper[:,1]
  
    rot_x,rot_y=rot_matrix.dot([x-displacement[0],y-displacement[1]])
    
    spline = UnivariateSpline(rot_x,rot_y, s=1)
    new_rot_x=np.arange(int(round(min(rot_x),0)),int(round(max(rot_x),0))+1)  
    new_rot_y = spline(new_rot_x)

    euclid_distance=np.sqrt(new_rot_x*new_rot_x + new_rot_y*new_rot_y)
    temp=abs(euclid_distance-radius)
    idx_min=np.argmin(temp)   #this one takes 0.000997781753540039s
    #idx_min = int(np.where(temp==temp.min())[0])  #this one takes 0.0009992122650146484s
    cross_lip_rot_x_upper=new_rot_x[idx_min]
    cross_lip_rot_y_upper=new_rot_y[idx_min]
    
    new_x_upper,new_y_upper=rot_matrix_inv.dot([cross_lip_rot_x_upper,cross_lip_rot_y_upper])
    new_x_upper=new_x_upper+displacement[0]
    new_y_upper=new_y_upper+displacement[1]
        
    new_point_upper=np.array([new_x_upper,new_y_upper])
    
    #find the mouth openness
    x=points_lower[:,0]
    y=points_lower[:,1]
   
    rot_x,rot_y=rot_matrix.dot([x-new_x_upper,y-new_y_upper])
    
    spline = UnivariateSpline(rot_x,rot_y, s=1)
    new_rot_x=0#np.arange(int(round(min(rot_x),0)),int(round(max(rot_x),0))+1)  
    new_rot_y = spline(new_rot_x)

    cross_lip_rot_x_lower=new_rot_x
    cross_lip_rot_y_lower=new_rot_y
    
    new_x_lower,new_y_lower=rot_matrix_inv.dot([cross_lip_rot_x_lower,cross_lip_rot_y_lower])
    new_x_lower=new_x_lower+new_x_upper
    new_y_lower=new_y_lower+new_y_upper
        
    new_point_lower=np.array([new_x_lower,new_y_lower])
    
    
    
    #find the teeth show 
    x=points_upper_inside[:,0]
    y=points_upper_inside[:,1]
    rot_x,rot_y=rot_matrix.dot([x-new_x_upper,y-new_y_upper])
    
    spline = UnivariateSpline(rot_x,rot_y, s=1)
    new_rot_x=0#np.arange(int(round(min(rot_x),0)),int(round(max(rot_x),0))+1)  
    new_rot_y = spline(new_rot_x)

    cross_lip_rot_x_upper_inside=new_rot_x
    cross_lip_rot_y_upper_inside=new_rot_y
    
    new_x_upper_inside,new_y_upper_inside=rot_matrix_inv.dot([cross_lip_rot_x_upper_inside,cross_lip_rot_y_upper_inside])
    new_x_upper_inside=new_x_upper_inside+new_x_upper
    new_y_upper_inside=new_y_upper_inside+new_y_upper
        
    new_point_upper_inside=np.array([new_x_upper_inside,new_y_upper_inside])
    
    
    x=points_lower_inside[:,0]
    y=points_lower_inside[:,1]
    rot_x,rot_y=rot_matrix.dot([x-new_x_upper,y-new_y_upper])
    
    spline = UnivariateSpline(rot_x,rot_y, s=1)
    new_rot_x=0#np.arange(int(round(min(rot_x),0)),int(round(max(rot_x),0))+1)  
    new_rot_y = spline(new_rot_x)

    cross_lip_rot_x_lower_inside=new_rot_x
    cross_lip_rot_y_lower_inside=new_rot_y
    
    new_x_lower_inside,new_y_lower_inside=rot_matrix_inv.dot([cross_lip_rot_x_lower_inside,cross_lip_rot_y_lower_inside])
    new_x_lower_inside=new_x_lower_inside+new_x_upper
    new_y_lower_inside=new_y_lower_inside+new_y_upper
        
    new_point_lower_inside=np.array([new_x_lower_inside,new_y_lower_inside])
    
    
    
    #compute mouth openness and teeth show
    openness = new_rot_y
    theet_show = cross_lip_rot_y_lower_inside-cross_lip_rot_y_upper_inside
    if theet_show < 0:
        theet_show = 0

    
    return new_point_upper, new_point_lower, new_point_upper_inside, new_point_lower_inside, openness, theet_show

    
def mouth_measures(center, commissure, rot_angle):
    x=commissure[0]
    y=commissure[1]

    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                      [-np.sin(rot_angle), np.cos(rot_angle)]])
    #rot_matrix_inv=np.array([[np.cos(rot_angle), -np.sin(rot_angle)],
    #                  [np.sin(rot_angle), np.cos(rot_angle)]])
 
    rot_x,rot_y=rot_matrix.dot([x-center[0],y-center[1]])
    distance= np.sqrt(rot_x**2 + rot_y**2)

    angle = np.arcsin((-rot_y)/distance)*(180/np.pi)
    
    return distance, angle, abs(rot_y) 


def deviation(pt1, pt2, center, rot_angle):
    x1=pt1[0]
    y1=pt1[1]
    
    x2=pt2[0]
    y2=pt2[1]
    
    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                      [-np.sin(rot_angle), np.cos(rot_angle)]])
    
    
    x1_rot, y1_rot = rot_matrix.dot([x1-center[0], y1-center[1]])
    x2_rot, y2_rot = rot_matrix.dot([x2-center[0], y2-center[1]])
    distance = abs(y1_rot-y2_rot)

    return distance 

def find_mid_point_lips(corner_left, corner_right, center, rot_angle):
    x1=corner_left[0]
    y1=corner_left[1]
    
    x2=corner_right[0]
    y2=corner_right[1]
    
    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                      [-np.sin(rot_angle), np.cos(rot_angle)]])
    
    x1_rot, y1_rot = rot_matrix.dot([x1-center[0], y1-center[1]])
    x2_rot, y2_rot = rot_matrix.dot([x2-center[0], y2-center[0]])   
    
    
    distance_left = abs(x1_rot/2)
    distance_right = abs(x2_rot/2)
    
    return distance_left, distance_right


def palpebral_fissure_height(eye, rot_angle, center):
    
    rot_matrix=np.array([[np.cos(rot_angle), np.sin(rot_angle)],
                  [-np.sin(rot_angle), np.cos(rot_angle)]])
    rot_matrix_inv=np.array([[np.cos(rot_angle), -np.sin(rot_angle)],
                  [np.sin(rot_angle), np.cos(rot_angle)]])
    
    
    #upper lid
    x=eye[0:4,0]
    y=eye[0:4,1]
    rot_x,rot_y=rot_matrix.dot([x-center[0],y-center[1]])
    
    spline_upper= UnivariateSpline(rot_x,rot_y)
    mid_upper = (rot_x[1]+rot_x[2])/2
    
    #lower lid
    x=eye[[0,5,4,3],0]
    y=eye[[0,5,4,3],1]
    rot_x,rot_y=rot_matrix.dot([x-center[0],y-center[1]])
    
    spline_lower = UnivariateSpline(rot_x,rot_y, s=1)
    mid_lower = (rot_x[1]+rot_x[2])/2
    
    
    mid_mid = (mid_upper+mid_lower)/2
    new_up = spline_upper(mid_mid)
    new_down = spline_lower(mid_mid)
    
    
    uper_lid_x,uper_lid_y = rot_matrix_inv.dot([mid_mid,new_up])
    uper_lid_x=uper_lid_x+center[0]
    uper_lid_y=uper_lid_y+center[1]
    
    lower_lid_x,lower_lid_y = rot_matrix_inv.dot([mid_mid,new_down])
    lower_lid_x=lower_lid_x+center[0]
    lower_lid_y=lower_lid_y+center[1]
    
    
    return np.sqrt((uper_lid_x-lower_lid_x)**2 + (uper_lid_y-lower_lid_y)**2)

    
class FaceMeasurementsSide(object):
    
    def __init__(self):        
        self.CommissureExcursion = 0 
        self.SmileAngle = 0
        self.MarginalReflexDistance1 = 0
        self.MarginalReflexDistance2 = 0 
        self.BrowHeight = 0 
        self.DentalShow = 0 
        self.PalpebralFissureHeight = 0
        
class FaceMeasurementsDeviation(object):
    
    def __init__(self):
        self.CommisureHeightDeviation = 0
        self.UpperLipHeightDeviation = 0
        self.LowerLipHeightDeviation = 0
        
        self.CommissureExcursion = 0 
        self.SmileAngle = 0
        self.MarginalReflexDistance1 = 0
        self.MarginalReflexDistance2 = 0 
        self.BrowHeight = 0 
        self.DentalShow = 0
        self.PalpebralFissureHeight = 0
    
    

def get_measurements_from_data(shape, left_pupil, right_pupil, CalibrationType, CalibrationValue):
    
    ResultsLeft = FaceMeasurementsSide()
    ResultsRight = FaceMeasurementsSide()
    ResultsDeviation = FaceMeasurementsDeviation()
    ResultsPercentile = FaceMeasurementsDeviation()
    
    slope, center = estimate_line(left_pupil, right_pupil)
    
    rot_angle=np.arctan(slope)
    
    #lower lip 
    x1_lowerlip=shape[48,0]
    temp=shape[54:60,0]
    x1_lowerlip=np.append(x1_lowerlip,temp[::-1])
    y1_lowerlip=shape[48,1]
    temp=shape[54:60,1]
    y1_lowerlip=np.append(y1_lowerlip,temp[::-1])
    #find where the lip curve crosses with the rotated 'x' axis, this provides the 
    #point where the lips cross with the middle of the face 
    print(rot_angle, center)
    print(x1_lowerlip)
    cross_lowerlip=rotate_axis(np.column_stack((x1_lowerlip,y1_lowerlip)),rot_angle,center)
    
    comm_exc_left, smile_angle_left, _ = mouth_measures(cross_lowerlip, shape[54], rot_angle)
    
    ResultsLeft.CommissureExcursion = comm_exc_left
    if cross_lowerlip[1] >= shape[54,1]:
        ResultsLeft.SmileAngle = 90 + smile_angle_left
    else:
        ResultsLeft.SmileAngle = 90 + smile_angle_left    
    #ResultsLeft.CommissureHeight = comm_height_left
    
    comm_exc_right, smile_angle_right, _ = mouth_measures(cross_lowerlip, shape[48], rot_angle)
    
    ResultsRight.CommissureExcursion = comm_exc_right
    
    if cross_lowerlip[1] >= shape[48,1]:
        ResultsRight.SmileAngle = 90 + smile_angle_right
    else:
        ResultsRight.SmileAngle = 90 + smile_angle_right
    #ResultsRight.CommissureHeight = comm_height_right
    
    ResultsDeviation.CommisureHeightDeviation = deviation(shape[48],shape[54],center,rot_angle)
    
    
    #lower lip - inside
    x1_lowerlip_inside=shape[60,0]
    temp=shape[64:68,0]
    x1_lowerlip_inside=np.append(x1_lowerlip_inside,temp[::-1])
    y1_lowerlip_inside=shape[60,1]
    temp=shape[64:68,1]
    y1_lowerlip_inside=np.append(y1_lowerlip_inside,temp[::-1])
    
    #upper lip
    x1_upperlip=shape[48:55,0]
    y1_upperlip=shape[48:55,1]
    
    
    #upper lip - inside
    x1_upperlip_inside=shape[60:65,0]
    y1_upperlip_inside=shape[60:65,1]
    
    
    #find mid distance from corner of mouth the line in the middle of face in 
    #both sides
    distance_left, distance_right = find_mid_point_lips(shape[54], shape[48], center, rot_angle)

    
    #point of contact with mouth and teeth show - left 
    
    (new_point_upper_left, new_point_lower_left, new_point_upper_inside_left, 
     new_point_lower_inside_left, openness_left, 
     theet_show_left) = find_point_in_lips(
            np.column_stack((x1_upperlip,y1_upperlip)), 
            np.column_stack((x1_lowerlip,y1_lowerlip)), 
            np.column_stack((x1_upperlip_inside,y1_upperlip_inside)),
            np.column_stack((x1_lowerlip_inside,y1_lowerlip_inside)), 
            rot_angle, 
            shape[54], 
            distance_left)
    
    ResultsLeft.DentalShow = theet_show_left   
    #_ , _ , ResultsLeft.UpperVermillionHeight = mouth_measures(cross_lowerlip, new_point_upper_left, rot_angle)
    #_ , _ , ResultsLeft.LowerVermillionHeight = mouth_measures(cross_lowerlip, new_point_lower_left, rot_angle)
    
    #point of contact with mouth and teeth show - right
    (new_point_upper_right, new_point_lower_right, new_point_upper_inside_right, 
     new_point_lower_inside_right, openness_right, 
     theet_show_right) = find_point_in_lips(
            np.column_stack((x1_upperlip,y1_upperlip)), 
            np.column_stack((x1_lowerlip,y1_lowerlip)), 
            np.column_stack((x1_upperlip_inside,y1_upperlip_inside)),
            np.column_stack((x1_lowerlip_inside,y1_lowerlip_inside)), 
            rot_angle, 
            shape[48], 
            distance_right)
    
    ResultsRight.DentalShow = theet_show_right
    #_ , _ , ResultsRight.UpperVermillionHeight = mouth_measures(cross_lowerlip, new_point_upper_right, rot_angle)
    #_ , _ , ResultsRight.LowerVermillionHeight = mouth_measures(cross_lowerlip, new_point_lower_right, rot_angle)
    
    ResultsDeviation.UpperLipHeightDeviation= deviation(new_point_upper_left,new_point_upper_right,center,rot_angle)
    ResultsDeviation.LowerLipHeightDeviation= deviation(new_point_lower_left,new_point_lower_right,center,rot_angle)

    
    #upper lid - left
    x1_upperlid_left=shape[42:46,0]
    y1_upperlid_left=shape[42:46,1]
    cross_upperlid_left=rotate_axis(np.column_stack((x1_upperlid_left,y1_upperlid_left)),rot_angle,np.array([left_pupil[0],left_pupil[1]]))
    _ , _ , ResultsLeft.MarginalReflexDistance1 = mouth_measures(left_pupil[0:2], cross_upperlid_left, rot_angle)
    
    #lower lid - left
    x1_lowerlid_left=shape[42,0]
    temp=shape[45:48,0]
    x1_lowerlid_left=np.append(x1_lowerlid_left,temp[::-1])
    y1_lowerlid_left=shape[42,1]
    temp=shape[45:48,1]
    y1_lowerlid_left=np.append(y1_lowerlid_left,temp[::-1])
    cross_lowerlid_left=rotate_axis(np.column_stack((x1_lowerlid_left,y1_lowerlid_left)),rot_angle,np.array([left_pupil[0],left_pupil[1]]))
    _ , _ , ResultsLeft.MarginalReflexDistance2 = mouth_measures(left_pupil[0:2], cross_lowerlid_left, rot_angle)
    
    
    #brown- left
    x1_brown_left=shape[22:27,0]
    y1_brown_left=shape[22:27,1]
    cross_brown_left=rotate_axis(np.column_stack((x1_brown_left,y1_brown_left)),rot_angle,np.array([left_pupil[0],left_pupil[1]]))
    _ , _ , ResultsLeft.BrowHeight = mouth_measures(left_pupil[0:2], cross_brown_left, rot_angle)
    
    
    #upper lid - right
    x1_upperlid_right=shape[36:40,0]
    y1_upperlid_right=shape[36:40,1]
    cross_upperlid_right=rotate_axis(np.column_stack((x1_upperlid_right,y1_upperlid_right)),rot_angle,np.array([right_pupil[0],right_pupil[1]]))
    _ , _ , ResultsRight.MarginalReflexDistance1 = mouth_measures(right_pupil[0:2], cross_upperlid_right, rot_angle)

    
    
    #lower lid - right
    x1_lowerlid_right=shape[36,0]
    temp=shape[39:42,0]
    x1_lowerlid_right=np.append(x1_lowerlid_right,temp[::-1])
    y1_lowerlid_right=shape[36,1]
    temp=shape[39:42,1]
    y1_lowerlid_right=np.append(y1_lowerlid_right,temp[::-1])
    cross_lowerlid_right=rotate_axis(np.column_stack((x1_lowerlid_right,y1_lowerlid_right)),rot_angle,np.array([right_pupil[0],right_pupil[1]]))
    _ , _ , ResultsRight.MarginalReflexDistance2 = mouth_measures(right_pupil[0:2], cross_lowerlid_right, rot_angle)
    
    
    #brown- right
    x1_brow_right=shape[17:22,0]
    y1_brow_right=shape[17:22,1]
    cross_brow_right=rotate_axis(np.column_stack((x1_brow_right,y1_brow_right)),rot_angle,np.array([right_pupil[0],right_pupil[1]]))
    _ , _ , ResultsRight.BrowHeight = mouth_measures(right_pupil[0:2], cross_brow_right, rot_angle)
    
    

    #Palpebral Fissure Height 
    PalpebralFissureHeight_Right = palpebral_fissure_height(shape[36:42,:], rot_angle, center)
    PalpebralFissureHeight_Left = palpebral_fissure_height(shape[42:48,:], rot_angle, center)

    
    radius=(left_pupil[2]+right_pupil[2])/2
    if CalibrationType == 'Iris': #Iris radius will be used as calibration
        Calibration = CalibrationValue/(2*radius)
    else:  #user provided calibration radius 
        Calibration = CalibrationValue
    
    
    
    ResultsLeft.CommissureExcursion = ResultsLeft.CommissureExcursion*Calibration
    ResultsLeft.DentalShow = ResultsLeft.DentalShow*Calibration
    ResultsLeft.MarginalReflexDistance1 = ResultsLeft.MarginalReflexDistance1*Calibration
    ResultsLeft.MarginalReflexDistance2 = ResultsLeft.MarginalReflexDistance2*Calibration
    ResultsLeft.BrowHeight = ResultsLeft.BrowHeight*Calibration
    ResultsLeft.PalpebralFissureHeight = PalpebralFissureHeight_Left*Calibration
    
    
    ResultsRight.CommissureExcursion = ResultsRight.CommissureExcursion*Calibration
    ResultsRight.DentalShow = ResultsRight.DentalShow*Calibration
    ResultsRight.MarginalReflexDistance1 = ResultsRight.MarginalReflexDistance1*Calibration
    ResultsRight.MarginalReflexDistance2 = ResultsRight.MarginalReflexDistance2*Calibration
    ResultsRight.BrowHeight = ResultsRight.BrowHeight*Calibration
    ResultsRight.PalpebralFissureHeight = PalpebralFissureHeight_Right*Calibration
    
    ResultsDeviation.CommisureHeightDeviation = ResultsDeviation.CommisureHeightDeviation*Calibration
    ResultsDeviation.UpperLipHeightDeviation = ResultsDeviation.UpperLipHeightDeviation*Calibration
    ResultsDeviation.LowerLipHeightDeviation = ResultsDeviation.LowerLipHeightDeviation*Calibration
    
    
    ResultsDeviation.CommissureExcursion = abs(ResultsLeft.CommissureExcursion-ResultsRight.CommissureExcursion)
    ResultsDeviation.SmileAngle = abs(ResultsLeft.SmileAngle-ResultsRight.SmileAngle)
    ResultsDeviation.DentalShow = abs(ResultsLeft.DentalShow-ResultsRight.DentalShow)
    ResultsDeviation.MarginalReflexDistance1 = abs(ResultsLeft.MarginalReflexDistance1-ResultsRight.MarginalReflexDistance1)
    ResultsDeviation.MarginalReflexDistance2 = abs(ResultsLeft.MarginalReflexDistance2-ResultsRight.MarginalReflexDistance2)
    ResultsDeviation.BrowHeight = abs(ResultsLeft.BrowHeight-ResultsRight.BrowHeight)
    ResultsDeviation.PalpebralFissureHeight = abs(ResultsLeft.PalpebralFissureHeight - ResultsRight.PalpebralFissureHeight)


    if shape[57,0] >= cross_lowerlip[0] : #left is the good side (probably)
        ResultsPercentile.BrowHeight = abs(ResultsLeft.BrowHeight - ResultsRight.BrowHeight)*100/ResultsLeft.BrowHeight
        ResultsPercentile.MarginalReflexDistance1 = abs(ResultsLeft.MarginalReflexDistance1 - ResultsRight.MarginalReflexDistance1)*100/ResultsLeft.MarginalReflexDistance1
        ResultsPercentile.MarginalReflexDistance2 = abs(ResultsLeft.MarginalReflexDistance2 - ResultsRight.MarginalReflexDistance2)*100/ResultsLeft.MarginalReflexDistance2
        ResultsPercentile.CommissureExcursion = abs(ResultsLeft.CommissureExcursion - ResultsRight.CommissureExcursion)*100/ResultsLeft.CommissureExcursion
        ResultsPercentile.SmileAngle = abs(ResultsLeft.SmileAngle - ResultsRight.SmileAngle)*100/ResultsLeft.SmileAngle
        if ResultsLeft.DentalShow >0:
            ResultsPercentile.DentalShow = abs(ResultsLeft.DentalShow - ResultsRight.DentalShow)*100/ResultsLeft.DentalShow   
        else:
            ResultsPercentile.DentalShow = 0
        
        if ResultsLeft.PalpebralFissureHeight > 0:
            ResultsPercentile.PalpebralFissureHeight = abs(ResultsLeft.PalpebralFissureHeight - ResultsRight.PalpebralFissureHeight)*100/ResultsLeft.PalpebralFissureHeight
        else:
            ResultsPercentile.PalpebralFissureHeight = 0
    else:  #right is the good side 
        ResultsPercentile.BrowHeight = abs(ResultsLeft.BrowHeight - ResultsRight.BrowHeight)*100/ResultsRight.BrowHeight
        ResultsPercentile.MarginalReflexDistance1 = abs(ResultsLeft.MarginalReflexDistance1 - ResultsRight.MarginalReflexDistance1)*100/ResultsRight.MarginalReflexDistance1
        ResultsPercentile.MarginalReflexDistance2 = abs(ResultsLeft.MarginalReflexDistance2 - ResultsRight.MarginalReflexDistance2)*100/ResultsRight.MarginalReflexDistance2
        ResultsPercentile.CommissureExcursion = abs(ResultsLeft.CommissureExcursion - ResultsRight.CommissureExcursion)*100/ResultsRight.CommissureExcursion
        ResultsPercentile.SmileAngle = abs(ResultsLeft.SmileAngle - ResultsRight.SmileAngle)*100/ResultsRight.SmileAngle        
        if ResultsRight.DentalShow > 0:
            ResultsPercentile.DentalShow = abs(ResultsLeft.DentalShow - ResultsRight.DentalShow)*100/ResultsRight.DentalShow
        else:
            ResultsPercentile.DentalShow =0     
        
        if ResultsRight.PalpebralFissureHeight > 0:
            ResultsPercentile.PalpebralFissureHeight = abs(ResultsLeft.PalpebralFissureHeight - ResultsRight.PalpebralFissureHeight)*100/ResultsRight.PalpebralFissureHeight
        else:
            ResultsPercentile.PalpebralFissureHeight = 0
    



    
    return ResultsLeft, ResultsRight, ResultsDeviation, ResultsPercentile