od_graph_def = tf.GraphDef() AttributeError: module 'tensorflow' has no attribute 'GraphDef' : <p>I have a mac and I am using tensorflow 2.0, python 3.7.
I am following the tutorial for creating an object detection model for real-time application.
but i am getting the following error:</p>

<p>"Downloads/models/research/object_detection/object_detection_tutorial.py", line 43, in 
    od_graph_def = tf
  od_graph_def = tf.GraphDef()</p>

<p>AttributeError: module 'tensorflow' has no attribute 'GraphDef'</p>

<p>below is the tutorial link:</p>

<p>I checked the environment and I already have tensorflow environment in anaconda </p>

<pre><code>import tensorflow as tf
import zipfile

from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL import Image

sys.path.append("..")
from object_detection.utils import ops as utils_ops


from utils import label_map_util

from utils import visualization_utils as vis_util

MODEL_NAME = 'ssd_mobilenet_v1_coco_2017_11_17'
MODEL_FILE = MODEL_NAME + '.tar.gz'
DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'

PATH_TO_CKPT = MODEL_NAME + '/frozen_inference_graph.pb'

PATH_TO_LABELS = os.path.join('data', 'mscoco_label_map.pbtxt')

NUM_CLASSES = 90


opener = urllib.request.URLopener()
opener.retrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)
tar_file = tarfile.open(MODEL_FILE)
for file in tar_file.getmembers():
  file_name = os.path.basename(file.name)
  if 'frozen_inference_graph.pb' in file_name:
    tar_file.extract(file, os.getcwd())

detection_graph = tf.Graph()
with detection_graph.as_default():
  od_graph_def = tf.GraphDef()
  with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
    serialized_graph = fid.read()
    od_graph_def.ParseFromString(serialized_graph)
    tf.import_graph_def(od_graph_def, name='')
</code></pre>
