Metadata-Version: 2.1
Name: pc2graph
Version: 1.0
Summary: Generates a NetworkX graph from 3D point clouds acquired using Terrestrial LiDAR Scanners.
Home-page: https://github.com/mattbv/pc2graph
Author: Matheus Boni Vicari
Author-email: matheus.boni.vicari@gmail.com
License: LICENSE.txt
Keywords: networkx graph shortest path TLS point cloud LiDAR
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy (>=1.11.3)
Requires-Dist: scikit-learn (>=0.19.1)
Requires-Dist: networkx (>=1.11)
Requires-Dist: sys

========
pc2graph
========

General Information
~~~~~~~~~~~~~~~~~~~

This is a Python (2.7x) script that converts a numpy.ndarray containing a point cloud
(x, y, z) into a NetworkX graph.

The code also includes a function to extract shortest path information from a
graph. Any NetworkX method/function can be called from/on a graph
created with array_to_graph function.

This code was developed as part of my PhD research, supervised by Dr. Mat Disney,
in the Department of Geography at University College London (UCL). My research 
is funded through Science Without Borders from the National Council of Technological
and Scientific Development (10.13039/501100003593) – Brazil (Process number 233849/2014-9). 

Any questions or suggestions, feel free to contact me using one of the
following e-mails: matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk


Installation
~~~~~~~~~~~~

To install this package use the command:

    .. code-block:: python

        python setup.py install

or:

    .. code-block:: python

        pip install pc2graph










