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

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

Contributors