text: import tensorflow as tf 
  import numpy as np 
  from tensorflow.python import pywrap_tensorflow
  
  weights_dir = '/home/vador/Documents/project/AI/drl-rpn-tf-video/pretrained-data/data3D/'
  
  model = weights_dir + 'model_test'
  meta_graph =  weights_dir + 'model_test.meta'
  
  with tf.Session() as sess:
    saver = tf.train.import_meta_graph(model + '.meta')
    saver.restore(sess, model)
    for var in tf.global_variables():
      print(var.name)
      print(sess.run(var))
  