This repo is intended to accompany the work by Pyle et. al.: reference
The full code for the above work can be found at: doi
The code in this repo produces example visualisations to accompany neural network predictions made on GFA values.
To view the interactive plots go to: https://richardp1234.github.io/GFA-Vis/index2.html
index2 can be replaced with index_ where _ is a number between 1 and 10, picking from 10 random experimental defects.