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A TensorFlow implementation of the U-Net architecture for pixel classification (image segmentation).
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PartitionOfImage.py ... Jan 7, 2019
ReadMe.txt ... Apr 16, 2019
UNet2D.py ... Apr 16, 2019
ftools.py ... Jan 7, 2019
imtools.py ... Jan 7, 2019

ReadMe.txt

A TensorFlow implementation of the U-Net architecture for pixel classification (image segmentation).

For a sample dataset to test the code on, see https://www.dropbox.com/s/hv5h483tlx08eo0/UNetData_Sinem.zip?dl=0

See main script on UNet2D.py for examples on how to train and deploy a model.
Familiarity with Python, TensorFlow, and Deep Learning is needed to understand and run the code.
Detailed documentation is currently not available. Please check LICENSE for further details.

References:
    https://arxiv.org/abs/1505.04597 (original U-Net paper)
    https://www.biorxiv.org/content/early/2018/12/28/507566 (paper where this implementation is used)

Developed by:
    Marcelo Cicconet
    marceloc.net
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