https://github.com/cjauvin/pypetree

A graphical tool for the reconstruction of botanical trees from point cloud data
https://github.com/cjauvin/pypetree

Last synced: 4 days ago
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A graphical tool for the reconstruction of botanical trees from point cloud data

• Host: GitHub
• URL: https://github.com/cjauvin/pypetree
• Owner: cjauvin
• Created: 2012-07-16T21:10:37.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2014-08-20T20:00:52.000Z (about 10 years ago)
• Last Synced: 2024-06-11T16:40:11.840Z (5 months ago)
• Language: Python
• Homepage: http://cjauvin.github.com/pypetree/
• Size: 1.22 MB
• Stars: 32
• Watchers: 7
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst

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README

        
========

PypeTree

========

**PypeTree** is a Python_ and VTK_-based tool with an innovative UI

for the reconstruction and modeling of botanical trees from point

cloud data (e.g. acquired from T-LiDAR devices). From a set of

scattered 3d points, it can produce a set of truncated cones fitting

them in the most likely way. At any moment during the process, the

user can intervene by manipulating the model primitives to perform

some adjustments (to create, delete, resize or move a branch, for

instance).

The development of PypeTree was funded by a FQRNT_ and NSERC_ grant

obtained by `Sylvain Delagrange`_. It was created by `Christian

Jauvin`_, `Sylvain Delagrange`_ and `Pascal Rochon`_.

An article_ describing PypeTree and its development process has been published

in the Sensors_ journal.

.. _Python: http://www.python.org

.. _VTK: http://www.vtk.org

.. _FQRNT: http://www.fqrnt.gouv.qc.ca

.. _NSERC: http://www.nserc-crsng.gc.ca/

.. _Christian Jauvin: http://christianjauv.in

.. _Sylvain Delagrange: http://services.uqo.ca/DosEtuCorpsProf/PageProfesseur.aspx?id=sylvain.delagrange

.. _Pascal Rochon: http://www.cef-cfr.ca/index.php?n=Membres.PascalRochon

.. _article: http://dx.doi.org/10.3390/s140304271

.. _Sensors: http://www.mdpi.com/journal/sensors

Features

--------

* Connectivity/geodesic-based reconstruction algorithm

.. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_recon.png

* Creation and sampling of artificial models based on L-system_ rules

.. _L-system: http://en.wikipedia.org/L-system

.. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_lsys.png

* Point cloud manipulation tools (here is an example of *geodesic

  clipping* of a point cloud, where the branches of its underlying

  tree model are cut above a threshold distance in its geodesic space)

.. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_geoclip.png

* And much more!

Documentation

-------------

Please consult the documentation_ for an overview of how it works and how to install it.

.. _documentation: http://cjauvin.github.io/pypetree/