when I use convert-to-uff command to convert my frozen tensorflow graph, it showed that, any suggestions?
Loading ./lanenet_model.pb
Traceback (most recent call last):
File "/usr/local/bin/convert-to-uff", line 11, in <module>
sys.exit(main())
File "/usr/local/lib/python2.7/dist-packages/uff/bin/convert_to_uff.py", line 89, in main
debug_mode=args.debug
File "/usr/local/lib/python2.7/dist-packages/uff/converters/tensorflow/conversion_helpers.py", line 186, in from_tensorflow_frozen_model
graphdef.ParseFromString(frozen_pb.read())
File "/home/nvidia/.local/lib/python2.7/site-packages/google/protobuf/message.py", line 185, in ParseFromString
self.MergeFromString(serialized)
File "/home/nvidia/.local/lib/python2.7/site-packages/google/protobuf/internal/python_message.py", line 1083, in MergeFromString
if self._InternalParse(serialized, 0, length) != length:
File "/home/nvidia/.local/lib/python2.7/site-packages/google/protobuf/internal/python_message.py", line 1109, in InternalParse
new_pos = local_SkipField(buffer, new_pos, end, tag_bytes)
File "/home/nvidia/.local/lib/python2.7/site-packages/google/protobuf/internal/decoder.py", line 850, in SkipField
return WIRETYPE_TO_SKIPPER[wire_type](buffer, pos, end)
File "/home/nvidia/.local/lib/python2.7/site-packages/google/protobuf/internal/decoder.py", line 820, in _RaiseInvalidWireType
raise _DecodeError('Tag had invalid wire type.')
google.protobuf.message.DecodeError: Tag had invalid wire type.