Flip-n-Slide

Flip-n-Slide is a concise tiling and augmentation strategy to prepare large scientific images for use with GPU-enabled algorithms. flipnslide is a Python package that outputs PyTorch-ready preprocessed datasets from a single large image.

Documentation

The documentation for flipnside is available on Read the Docs.

Installation and Dependencies

For now, flipnslide can be installed from PyPI using pip, by running:

pip install flipnslide

Check back later for instructions on installing from conda forge.

Attribution

If you make use of this code, please cite the companion conference paper from ML4RS @ ICLR 2024 that initially presents the algorithmic methods behind this implementation:

@inproceedings{flipnslide,
  author       = {Ellianna Abrahams and
                  Tasha Snow and
                  Matthew R. Siegfried and
                  Fernando Pérez},
  title        = {A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery},
  booktitle    = {Machine Learning for Remote Sensing Workshop {ML4RS} at The Twelfth International Conference 
                  on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
  doi          = {10.48550/arXiv.2404.10927},
  year         = {2024},
  month        = may,
}

License

Copyright 2024 Ellianna Abrahams, Tasha Snow, Matthew R. Siegfried, Fernando Pérez, and contributors.

flipnslide is free software made available under the MIT License. For details see the LICENSE file.

Contributors

See the AUTHORS file for a complete list of contributors to the project.