Comments (10)
I have experienced the same problem
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from keras-cv.
Thanks for reporting the issue.
This issue could be due to the changes made here in the latest Keras version.
@sampathweb , Could you please look into this.
Till we resolve the issue, you can downgrade the Keras version to 3.2.0 and continue using the tutorial without any error.
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👍🏼
from keras-cv.
Changes have been made here fb4fca4 and it will be available in the next release( today or tomorrow)
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@flocho-hy @sachinprasadhs @deepdatadive @TheSmileXiao - Release KerasCV 0.9.0. Can you update your KerasCV version by pip install -U keras-cv
and let me know if you still run into this issue?
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I had the same issue with Tensorflow 2.12 and keras_cv 0.9 on a conda envireronment. After trying a lot of solution, finally upgrade Tensorflow to 2.14 solved the issue.
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@babanthierry94 , You can upgrade to latest Tensorflow version which comes with Keras 3 as a backend and keras_cv is also migarted to Keras 3
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