Composable mapping is a PyTorch utility library for handling geometric deformations

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  • License: MIT License (MIT License Copyright (c) 2023 Joel Honkamaa Permission is hereby granted, free of charge, to any ...)
  • Author: Joel Honkamaa
  • Tags deep learning , neural networks , image registration , deformation , coordinate mapping , pytorch
  • Requires: Python >=3.8
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Project description

Composable mapping

Composable mapping is a PyTorch utility library for handling geometric deformations, develped as part of SITReg, a deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties.

Installation

Install using pip by running the command

pip install composable-mapping

Requirements

  • Python 3.8+
  • PyTorch 1.10+
  • nibabel
  • matplotlib (optional)

Source code

Code repository can be found at GitHub https://github.com/honkamj/composable-mapping

Documentation

For documentation, see the GitHub repository.

Publication

If you use the repository, please cite the SITReg paper. Details for citing can be found at the GitHub repository.

License

Composable mapping is released under the MIT license.

Project details

Verified details

These details have been verified by PyPI
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Avatar for honkamj from gravatar.com honkamj

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License Copyright (c) 2023 Joel Honkamaa Permission is hereby granted, free of charge, to any ...)
  • Author: Joel Honkamaa
  • Tags deep learning , neural networks , image registration , deformation , coordinate mapping , pytorch
  • Requires: Python >=3.8
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0.1.4

0.1.3

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