code: def __init__(self, model):
      super(EOTB_attack, self).__init__(model)
      # init global variable
      self.filewrite_img = False
      self.filewrite_txt = False
      self.tofile_img = os.path.join(self.path, "output.jpg")
      self.tofile_txt = os.path.join(self.path, "output.txt")
  
      self.imshow = False
      self.useEOT = True
      self.Do_you_want_ad_sticker = True
      self.weights_file = "weights/YOLO_tiny.ckpt"
  
      # optimization settings
      self.learning_rate = 1e-2
      self.steps = 4
      self.alpha = 0.1
      self.threshold = 0.2
      self.iou_threshold = 0.5
      self.num_class = 20
      self.num_box = 2
      self.grid_size = 7
      self.classes = [
          "aeroplane",
          "bicycle",
          "bird",
          "boat",
          "bottle",
          "bus",
          "car",
          "cat",
          "chair",
          "cow",
          "diningtable",
          "dog",
          "horse",
          "motorbike",
          "person",
          "pottedplant",
          "sheep",
          "sofa",
          "train",
          "tvmonitor",
      ]
  
imports: from __future__ import division
  from __future__ import print_function
  from builtins import str
  from builtins import range
  from past.utils import old_div
  import numpy
  import cv2
  import tensorflow
  import time
  import os
  from EOT_simulation import transformation
  from attack_methods.base_logic import ODD_logic
  import pdb
label_desc: Use image node_id 1 to create a new EOTB_attack object from inherited base classes: ODD_logic with example: obj = EOTB_attack(model)