.. spyrit documentation master file, created by sphinx-quickstart on Fri Mar 12 11:04:59 2021. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. SPyRiT ##################################################################### SPyRiT is a `PyTorch `_-based image reconstruction package designed for `single-pixel imaging `_. SPyRiT has a `modular organisation `_ and may be useful for other inverse problems. Github repository: `openspyrit/spyrit `_ Installation ================================== SPyRiT is available for Linux, MacOs and Windows:: pip install spyrit See `here `_ for advanced installation guidelines. Getting started ================================== Please check our `tutorials `_ as well as the `examples `_ on GitHub. Cite us ================================== When using SPyRiT in scientific publications, please cite [v3]_ for SPyRiT v3, [v2]_ for SPyRiT v2, and [v1]_ for DC-Net. .. [v3] JFJP Abascal, T Baudier, R Phan, A Repetti, N Ducros, "SPyRiT 3.0: an open source package for single-pixel imaging based on deep learning," Preprint (2024). .. [v2] G Beneti-Martin, L Mahieu-Williame, T Baudier, N Ducros, "OpenSpyrit: an Ecosystem for Reproducible Single-Pixel Hyperspectral Imaging," *Optics Express*, Vol. 31, Issue 10, (2023). `DOI `_. .. [v1] A Lorente Mur, P Leclerc, F Peyrin, and N Ducros, "Single-pixel image reconstruction from experimental data using neural networks," *Opt. Express*, Vol. 29, Issue 11, 17097-17110 (2021). `DOI `_. Join the project ================================== The list of contributors can be found `here `_. Feel free to contact us by `e-mail `_ for any question. Direct contributions via pull requests (PRs) are welcome. .. toctree:: :maxdepth: 2 :hidden: single_pixel organisation .. toctree:: :maxdepth: 2 :caption: Tutorials :hidden: gallery/index Contents ======== .. autosummary:: :toctree: _autosummary :template: spyrit-module-template.rst :recursive: :caption: Contents spyrit.core spyrit.misc spyrit.external