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Description:

pepegranular 1.2.6

Photoelastic Python Environment
Photo-
elastic
Python
Environment
This is a collection of tools for working with photoelastic particle images, including common analysis methods like particle tracking and community analysis.
Features

Common analysis techniques (G2, D2min, etc.)
Particle tracking
Masking and other preprocessing tools
Synthetic photoelastic response generation
Force solving (as in PeGS [1a, 1b])

Installation
The library is available on PyPi:
pip install pepe-granular

It can also be installed from the Github repository:
git clone https://github.com/Jfeatherstone/pepe
cd pepe
pip install .

Documentation
Available here.
Requirements
Python 3.11 is the recommended version to use, with the following packages:

numpy
matplotlib
lmfit
scikit-learn
opencv
Pillow
numba
tqdm
rawpy

These can all be installed (alongside their dependencies) via pip:
git clone https://github.com/jfeatherstone/pepe
cd pepe
pip install -r requirements.txt

Usage
The wiki and documentation contain information about how to use the toolbox. Test notebooks can be
found in the repo's notebooks directory, and unit tests can be found in the pepe.test directory.
Some of the test notebooks make use of the Matlab API to compare against Jonathan Kollmer's code [1a], but this is not required to use any functions in the library itself. Installing the Matlab API requires a local installation of Matlab proper; see here for more information.
Further Reading and References
[1] Daniels, K. E., Kollmer, J. E., & Puckett, J. G. (2017). Photoelastic force measurements in granular materials. Review of Scientific Instruments, 88(5), 051808. https://doi.org/10.1063/1.4983049
[1a] Jonathan Kollmer's implementation in Matlab: https://github.com/jekollmer/PEGS
[1b] Olivier Lantsoght's implementation in Python: https://git.immc.ucl.ac.be/olantsoght/pegs_py
[2] Abed Zadeh, A., Barés, J., Brzinski, T. A., Daniels, K. E., Dijksman, J., Docquier, N., Everitt, H. O., Kollmer, J. E., Lantsoght, O., Wang, D., Workamp, M., Zhao, Y., & Zheng, H. (2019). Enlightening force chains: A review of photoelasticimetry in granular matter. Granular Matter, 21(4), 83. https://doi.org/10.1007/s10035-019-0942-2
[3] Photoelastic methods wiki. https://git-xen.lmgc.univ-montp2.fr/PhotoElasticity/Main/-/wikis/home or https://photoelasticity.net/