code: def compare(self, input_pic, target_pic):
      embedding1 = self.generate_embedding(input_pic)
      embedding2 = self.generate_embedding(target_pic)
  
      # if both pictures are same, return 0
      return Euclidian_distance(embedding1, embedding2)
  
imports: import tensorflow
  import numpy
  from PIL import Image
  import sys
  from scipy import misc
  import os
  import time
  from adversarialbox.attacks.tf.tools import deepfool
  import facenet
label_desc: Use image node_id 3 for calling the FacenetFR obj's underlying member method code with example usage: obj.compare(input_pic, target_pic) and returns: Euclidian_distance