https://github.com/carlos-alberto-silva/pypetree
A graphical tool for the reconstruction of botanical trees from point cloud data
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: mdpi.com -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.9%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
A graphical tool for the reconstruction of botanical trees from point cloud data
Basic Info
- Host: GitHub
- Owner: carlos-alberto-silva
- Default Branch: master
- Homepage: http://cjauvin.github.com/pypetree/
- Size: 1.22 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of cjauvin/pypetree
Created over 4 years ago
· Last pushed almost 12 years ago
Metadata Files
Readme
README.rst
======== 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/
Owner
- Name: Carlos Alberto Silva
- Login: carlos-alberto-silva
- Kind: user
- Company: University of Florida
- Website: https://carlos-alberto-silva.github.io/silvalab/home.html
- Twitter: Web_LiDAR
- Repositories: 100
- Profile: https://github.com/carlos-alberto-silva
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Christian Jauvin | c****n@g****m | 20 |
Issues and Pull Requests
Last synced: over 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0