Segmentation_net is a high-level neural networks API for image segmentation based on the sucess of fully convolutionnal networks. Segmentation_net provides essential classes as building blocks for segmentation networks. it implements the necessary functions to have fast implementation of queues for the tensorflow models. Many data augmentation that can be applied to an image and to it's corresponding label. Finally it's organisation allows a user to modify independantly some crucial aspects of the whole model easily. Indeed, the core class segmentation_net posses many methods.
segmentation_net can be installed by unzipping the source code in one directory and using this command: :
python setup.py installYou can also install it directly from the Python Package Index with this command: :
pip segmentation_net installPlease see [this repository](url:https://github.com/PeterJackNaylor/BestNucleiModel).
Sphinx generated documentation.
See file LICENCE.txt in this folder
segmentation_net is an open-source software. Everyone is welcome to contribute !