code: def __init__(self, init_dict):
      self.model_input = init_dict["yolo_model_input"]
      self.mode = init_dict["yolo_mode"]
      self.disp_console = init_dict["yolo_disp_console"]
      self.sess = init_dict["session"]
  
      self.model_output = self.build_graph(self.model_input, self.mode)
  
      self.yolo_variables = tf.get_collection(
          tf.GraphKeys.GLOBAL_VARIABLES
      )[1:]
      # unused, but you can check name like this
      YOLO_variables_name = [
          variable.name for variable in self.yolo_variables
      ]
  
imports: from __future__ import division
  from __future__ import print_function
  from builtins import str
  from builtins import range
  from past.utils import old_div
  from builtins import object
  import tensorflow
  import cv2
  import numpy
  import os
  import sys
  import argparse
  import pdb
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new YOLO_tiny_model_updated object from inherited base classes: object with example: obj = YOLO_tiny_model_updated(init_dict)