TauFactor is an application for calculating tortuosity factors from tomographic data.

• Free software: MIT license
• Documentation: https://taufactor.readthedocs.io.

Before installing taufactor, download the most recent version of PyTorch. Ensure you have pytorch>=1.10 installed in your Python environment.

For example, for a Linux machine with CUDA GPU

conda install pytorch pytorch-cuda=11.7 -c pytorch -c nvidia

To install TauFactor via PyPI

pip install taufactor

To extract effective diffusivity and tortuosity factor from your data:

import taufactor as tau
import tifffile

# load image
img = tifffile.imread('path/filename')
# ensure 1s for conductive phase and 0s otherwise.

# create a solver object with loaded image
s = tau.Solver(img)

# call solve function
s.solve()

# view effective diffusivity and tau
print(s.D_eff, s.tau)

To run unit tests navigate to the root directory and run

pytest

This package was created by the tldr group at the Dyson School of Design Engineering, Imperial College London.

The package in this repository refers to a Python implementation of the TauFactor solver. There is a deprecated MATLAB implementation, which is no longer maintained.