from imutils import face_utils
import numpy as np
import argparse
import imutils
import dlib
import cv2
import math
def rass(x1,y1,x2,y2):
      return math.sqrt((x2-x1)**2+(y2-y1)**2)
#-------------------------------------
fac=[]
inp=list(map(int,input().split(' ')))
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(r'C:\Users\magic\Documents\facial-landmarks\facial-landmarks\shape_predictor_68_face_landmarks.dat')
for photo in inp:
      image = cv2.imread('faces/'+str(photo)+'.jpg')
      gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
      rects = detector(gray, 1)
      for (i, rect) in enumerate(rects):
            shape = predictor(gray, rect)
            shape = face_utils.shape_to_np(shape)
      #------------------------------------------------
      one=rass(shape[37][0],shape[37][1],shape[41][0],shape[41][1])
      two=rass(shape[38][0],shape[38][1],shape[40][0],shape[40][1])
      three=rass(shape[43][0],shape[43][1],shape[47][0],shape[47][1])
      four=rass(shape[44][0],shape[44][1],shape[46][0],shape[46][1])
      usras=(one+two+three+four)/4
      last=rass(shape[27][0],shape[27][1],shape[8][0],shape[8][1])
      res=usras/last
      fac.append(res)
print(inp[fac.index(max(fac))],inp[fac.index(min(fac))])