Semantic Segmentation with Deep Learning in KNIME

KCH Workflows
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This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural network for semantic segmentation. This means that our network decides for each pixel in the input image, what class of object it belongs to.

This is a companion discussion topic for the original entry at https://kni.me/w/kRZQcv4e7-qoGQkU
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Hi nemad
I’m trying to use your workflow but when I execute the python script node I receive the following error msg:

No module named ‘keras’
Traceback (most recent call last):
File “”, line 5, in
ModuleNotFoundError: No module named ‘keras’

I loaded all the deep learning extensions.

Can you help me?

Rgds. Felice