Metadata-Version: 1.0
Name: StructuralGT
Version: 1.0.1b1
Summary: Automated graph theory analysis of digital structural networks images
Home-page: https://github.com/drewvecchio/StructuralGT
Author: drewvecchio
Author-email: vecdrew@umich.edu
License: GNU General Public License v3
Description: StructuralGT: An automated python package for graph theory analysis of structural networks.
        
        Designed for processing digital micrographs of complex network materials.
        
        For example, analyzing SEM images of polymer network.
        
        
        StructuralGT is designed as an easy-to-use python-based application for applying graph theory (GT) analysis to 
        structural networks of a wide variety of material systems. This application converts digital images of 
        nano-/micro-/macro-scale structures into a GT representation of the structure in the image 
        consisting of nodes and the edges that connect them. Fibers (or fiber-like structures) are taken to represent edges, 
        and the location where a fiber branches, or 2 or more fibers intersect are taken to represent nodes. The program 
        operates with a graphical user interface (GUI) so that selecting images and processing the graphs are intuitive and 
        accessible to anyone, regardless of programming experience.  Detection of networks from input images, the extraction of 
        the graph object, and the subsequent GT analysis of the graph is handled entirely from the GUI, and a PDF file with the
        results of the analysis is saved.  Also see StructuralGT_RC for added Ricci Curvature analysis.
        
        
        See the README for detail information.
        
        https://github.com/drewvecchio/StructuralGT
        
        Copyright (C) 2021, The Regents of the University of Michigan.
        
        This program is free software: you can redistribute it and/or modify
        it under the terms of the GNU General Public License as published by
        the Free Software Foundation, either version 3 of the License, or
        (at your option) any later version.
        
        This program is distributed in the hope that it will be useful,
        but WITHOUT ANY WARRANTY; without even the implied warranty of
        MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
        GNU General Public License for more details.
        
        You should have received a copy of the GNU General Public License
        along with this program.  If not, see <https://www.gnu.org/licenses/>.
        
        Contributers: Drew Vecchio, Samuel Mahler, Mark D. Hammig, Nicholas A. Kotov
        
        Contact email: vecdrew@umich.edu
        
        
Platform: UNKNOWN
