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:projectsopencv-pythonopencvmodulesvideoiosrccap_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.
submitted by /u/jhivesh
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