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paulgavrikov / visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

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Unexpected 'legend' argument in layered_view() in Google Colab

jaredible opened this issue · comments

commented

Hi @jaredible,
the published v0.0.1 does not support legends. I have not released the legend feature on pypi, yet - but you can install the latest github master: pip install git+https://github.com/paulgavrikov/visualkeras

commented

Hi @jaredible,
the published v0.0.1 does not support legends. I have not released the legend feature on pypi, yet - but you can install the latest github master: pip install git+https://github.com/paulgavrikov/visualkeras

I have tried installing this version but i'm still getting version 0.0.1 on pip and 'legend' argument still throwing error.

commented

@wayzz1992 have you uninstalled the pypi release prior to installing this? You can also force this via: pip install git+https://github.com/paulgavrikov/visualkeras --upgrade

commented

@wayzz1992 have you uninstalled the pypi release prior to installing this? You can also force this via: pip install git+https://github.com/paulgavrikov/visualkeras --upgrade

Yes I uninstalled using pip uninstall visualkeras and used the one provided by yourself.

When I run the below code I still get : TypeError: layered_view() got an unexpected keyword argument 'legend'

visualkeras.layered_view(modelone, to_file='output.png', legend=True)

commented

@wayzz1992 I still believe that the package is not installed properly. Are you sure you are installing it with the correct python runtime / environment (if you have multiple)? Is this on Google Colab? --> if not please create a new issue and fill out the bug report with as many details as possible. Btw. I have just released the latest code on pypi and it's versioned as 0.0.2, so, perhaps a simple update will help you already.