code: def load_weight(self, variables):
      saver = tf.train.Saver(variables)  # [0:-1][1:-4]
      saver.restore(self.sess, self.weights_file)
  
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 4 for calling the YOLO_tiny_model_updated obj's underlying member method code with example usage: obj.load_weight(variables) without return types