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Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

License: MIT License

Python 7.46% Jupyter Notebook 92.54%
cnn gcnn graph neural-network spatial spectral tensorflow

embedded_gcnn's Introduction



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Founding Engineer 🤓 @ kumo.ai - PhD from TU Dortmund University

  • 👨🏼‍💻 I love coding and learning new things
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embedded_gcnn's Issues

Replace EGCNN with GCNN

Thanks a lot for your work, It is helping everyone a lot. I was wondering, if I want to replace EGCNN with GCN, then what changes do I need to do?

pytorch

Thank you very much for your work, I am not very familiar with the tensorflow version, do you have this code for pytorch?

SLIC

Hi! Amazing work!
When using a algorithm such as SLIC to obtain a super pixel block, it seems that the super pixel block of each picture is different. And the number of obtained super pixel blocks is not equal to the value set by the parameter "num_segments".
I can not understand it!

question asking

can i use this to cluster the pixels in an image in order to accomplish instance segmentation

How to run the program

hello，thanks to your work,How can I run the program? Will it work on Windows system?

how to deal with 3d image

hello! thanks to your work.
I want to input a 3d(h×w×z) image. In order to process 3d_segmentation(after using SLIC algorithm), how do I modify the FormFeatureExtraction class、SLIC_FEATURES to get features?
Thank you very much!

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