Скачать или смотреть Python tips and tricks - 6: Fixing generic_utils error while importing segmentation models 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)

Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...