Fixing Generic_Utils Error While Importing Segmentation Models Library - Python tips and tricks

Fixing Generic_Utils Error While Importing Segmentation Models Library - Python tips and tricks

In this video, we will show you how to Fix generic_utils error when importing the segment model library

In this video, we will show you how to Fix generic_utils error when importing the segment model library

Note: Importing segmentation models library may give you generic_utils error on TF2.x

If you get an error about generic_utils...

change keras.utils.generic_utils.get_custom_objects().update(custom_objects) to keras.utils.get_custom_objects().update(custom_objects) 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.

from distutils.sysconfig import get_python_lib 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)

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