["python","tensorflow","protocol-buffers","object-detection-api","proto"]
How to solve "AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key"?

I encountered it while executing from object_detection.utils import label_map_util in jupyter notebook. It is actually the tensorflow object detection tutorial notebook(it comes with the tensorflow object detection api) The complete error log: AttributeError Traceback (most recent call last) <ipython-input-7-7035655b948a> in <module> 1 from object_detection.utils import ops as utils_ops ----> 2 from object_detection.utils import label_map_util 3 from object_detection.utils import visualization_utils as vis_util ~\AppData\Roaming\Python\Python37\site-packages\object_detection\utils\label_map_util.py in <module> 25 import tensorflow as tf 26 from google.protobuf import text_format ---> 27 from object_detection.protos import string_int_label_map_pb2 28 29 ~\AppData\Roaming\Python\Python37\site-packages\object_detection\protos\string_int_label_map_pb2.py in <module> 19 syntax='proto2', 20 serialized_options=None, ---> 21 create_key=_descriptor._internal_create_key, 22 serialized_pb=b'\n2object_detection/protos/string_int_label_map.proto\x12\x17object_detection.protos\"\xc0\x01\n\x15StringIntLabelMapItem\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\n\n\x02id\x18\x02 \x01(\x05\x12\x14\n\x0c\x64isplay_name\x18\x03 \x01(\t\x12M\n\tkeypoints\x18\x04 \x03(\x0b\x32:.object_detection.protos.StringIntLabelMapItem.KeypointMap\x1a(\n\x0bKeypointMap\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05label\x18\x02 \x01(\t\"Q\n\x11StringIntLabelMap\x12<\n\x04item\x18\x01 \x03(\x0b\x32..object_detection.protos.StringIntLabelMapItem' 23 ) AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key'
The protoc version I got through pip show protobuf and protoc --version were different. The version in pip was a bit outdated. After I upgraded the pip version with pip install --upgrade protobuf the problem was solved.