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.
The documentation for flipnside is available on Read the Docs.
For now, flipnslide can be installed from PyPI using pip, by running:
pip install flipnslideCheck back later for instructions on installing from conda forge.
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,
}
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.
See the AUTHORS file for a complete list of contributors to the project.