code: def build_networks(self):
      if self.disp_console:
          print("Building YOLO_tiny graph...")
      self.x = tf.placeholder("float32", [None, 448, 448, 3])
      self.conv_1 = self.conv_layer(1, self.x, 16, 3, 1)
      self.pool_2 = self.pooling_layer(2, self.conv_1, 2, 2)
      self.conv_3 = self.conv_layer(3, self.pool_2, 32, 3, 1)
      self.pool_4 = self.pooling_layer(4, self.conv_3, 2, 2)
      self.conv_5 = self.conv_layer(5, self.pool_4, 64, 3, 1)
      self.pool_6 = self.pooling_layer(6, self.conv_5, 2, 2)
      self.conv_7 = self.conv_layer(7, self.pool_6, 128, 3, 1)
      self.pool_8 = self.pooling_layer(8, self.conv_7, 2, 2)
      self.conv_9 = self.conv_layer(9, self.pool_8, 256, 3, 1)
      self.pool_10 = self.pooling_layer(10, self.conv_9, 2, 2)
      self.conv_11 = self.conv_layer(11, self.pool_10, 512, 3, 1)
      self.pool_12 = self.pooling_layer(12, self.conv_11, 2, 2)
      self.conv_13 = self.conv_layer(13, self.pool_12, 1024, 3, 1)
      self.conv_14 = self.conv_layer(14, self.conv_13, 1024, 3, 1)
      self.conv_15 = self.conv_layer(15, self.conv_14, 1024, 3, 1)
      self.fc_16 = self.fc_layer(
          16, self.conv_15, 256, flat=True, linear=False
      )
      self.fc_17 = self.fc_layer(
          17, self.fc_16, 4096, flat=False, linear=False
      )
      # skip dropout_18
      self.fc_19 = self.fc_layer(
          19, self.fc_17, 1470, flat=False, linear=True
      )
      self.sess = tf.Session()
      self.sess.run(tf.initialize_all_variables())
      self.saver = tf.train.Saver()
  
      self.saver.restore(self.sess, self.weights_file)
  
      if self.disp_console:
          print("Loading complete!" + "\n")
  
file_path: AdvBox/applications/StealthTshirt/StealthTshirtDemo.py
imports: import numpy
  import tensorflow
  import cv2
  import time
  import sys
  import os
  import pdb
label_desc: Use image node_id 3 for calling the Faster_YOLO obj's underlying member method code with example usage: obj.build_networks() without return types