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Python tips and tricks - 6: Fixing generic_utils error while importing segmentation models library

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Note: Importing segmentation models library may give you generic_utils
error on TF2.x
If you get an error about generic_utils...
change
to
in
.../lib/python3.7/site-packages/efficientnet/__init__.py
For Anaconda users:
Use this code to find out the location of site-packages directory
under your current environment in anaconda.
print(get_python_lib())
For Colab users:
You can click on the direct link provided on Colab for __init__.py and edit it.
Remember to restart the runtime after editing the file.
Alternatively you can work with Tensorflow 1.x that doesn't throw
the generic_utils error.
In google colab, add this as your first line.
%tensorflow_version 1.x
(Or just create a new environment in your local IDE to use TF1.x)
Code generated in the video can be downloaded from here:
error on TF2.x
If you get an error about generic_utils...
change
to
in
.../lib/python3.7/site-packages/efficientnet/__init__.py
For Anaconda users:
Use this code to find out the location of site-packages directory
under your current environment in anaconda.
print(get_python_lib())
For Colab users:
You can click on the direct link provided on Colab for __init__.py and edit it.
Remember to restart the runtime after editing the file.
Alternatively you can work with Tensorflow 1.x that doesn't throw
the generic_utils error.
In google colab, add this as your first line.
%tensorflow_version 1.x
(Or just create a new environment in your local IDE to use TF1.x)
Code generated in the video can be downloaded from here:
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