Protobuf v3.15 Error: google.protobuf.message.DecodeError, When using tf.graph(), loading TensorFlow model into memory. After changing tf.graph() snippet above into TensorFlow v2, same error was getting.
I have tried protobuf 3.12.4(same on colabs), same error appeared
Traceback (most recent call last):
File "object_detection/webcam.py", line 25, in <module>
od_graph_def.ParseFromString(serialized_graph)
google.protobuf.message.DecodeError: Error parsing message
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674) SourceReaderCB::~SourceReaderCB terminating async callback
I have reinstalled different protobuf version and still same error is getting.
I have trained a "SSD MobileNet" model using TensorFlow version 1.14 CPU for Webcam Object-detection with OpenCV. After installing required libraries of TensorFlow, I run model_builder_tf1.py and it successfully passed all 21 tests.
Snippet: to load TensorFlow model into memory using tf.graph()
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.compat.v1.GraphDef()
with tf.gfile.GFile(PATH_TO_FROZEN_GRAPH, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.compat.v1.Session(graph=detection_graph)
Note that TensorFlow 1.14 is installed on conda environment.
Using protobuf==3.8, another of error appeared
AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key
Can someone please give a solution to this problem.
