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IBM / MAX-Image-Resolution-Enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.
https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/
Apache License 2.0
984 stars 155 forks source link

TypeError: Descriptors cannot not be created directly #64

Open ezhiljohnson7 opened 2 years ago

ezhiljohnson7 commented 2 years ago

Error while creating the docker container. Here it is -

docker run -it -p 5000:5000 max-image-resolution-enhancer

Traceback (most recent call last): File "app.py", line 18, in from api import ModelMetadataAPI, ModelPredictAPI File "/home/max/api/init.py", line 17, in from .metadata import ModelMetadataAPI # noqa File "/home/max/api/metadata.py", line 17, in from core.model import ModelWrapper File "/home/max/core/model.py", line 28, in from core.srgan_controller import SRGAN_controller File "/home/max/core/srgan_controller.py", line 21, in import tensorflow as tf File "/opt/conda/lib/python3.7/site-packages/tensorflow/init.py", line 41, in from tensorflow.python.tools import module_util as _module_util File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/init.py", line 40, in from tensorflow.python.eager import context File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/context.py", line 32, in from tensorflow.core.framework import function_pb2 File "/opt/conda/lib/python3.7/site-packages/tensorflow/core/framework/function_pb2.py", line 16, in from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attrvaluepb2 File "/opt/conda/lib/python3.7/site-packages/tensorflow/core/framework/attr_value_pb2.py", line 16, in from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensorpb2 File "/opt/conda/lib/python3.7/site-packages/tensorflow/core/framework/tensor_pb2.py", line 16, in from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resourcehandlepb2 File "/opt/conda/lib/python3.7/site-packages/tensorflow/core/framework/resource_handle_pb2.py", line 16, in from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensorshapepb2 File "/opt/conda/lib/python3.7/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 42, in serialized_options=None, file=DESCRIPTOR), File "/opt/conda/lib/python3.7/site-packages/google/protobuf/descriptor.py", line 560, in new__ _message.Message._CheckCalledFromGeneratedFile() TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are:

  1. Downgrade the protobuf package to 3.20.x or lower.
  2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

What would be the best fix? Any help will be appreciated.

kirtanparmar9 commented 2 years ago

protobuf~=3.19.0

add above line in requirements.txt file