text: import tensorflow as tf
  from google.protobuf import text_format
  from tensorflow.python.platform import gfile
  
  def pbtxt_to_graphdef(filename):
    with open(filename, 'r') as f:
      graph_def = tf.GraphDef()
      file_content = f.read()
      text_format.Merge(file_content, graph_def)
      tf.import_graph_def(graph_def, name='')
      tf.train.write_graph(graph_def, './', 'protobuf.pb', as_text=False)
  
  def graphdef_to_pbtxt(filename): 
    with gfile.FastGFile(filename,'rb') as f:
      graph_def = tf.GraphDef()
      graph_def.ParseFromString(f.read())
      tf.import_graph_def(graph_def, name='')
      tf.train.write_graph(graph_def, './', filename+'txt', as_text=True)
    return
  
  
  graphdef_to_pbtxt('frozen_inference_graph_face.pb')  # here you can write the name of the file to be converted
  