Newest information and work in progress is usually available on twitter
Contact: Markus Schütz (email@example.com)
Build and Run
Install all dependencies, as specified in package.json:
npm run build to create ./build/potree.
npm start command to
- create ./build/potree
- watch for changes to the source code and automatically create a new build on change
- start a web server at localhost:1234.
Go to http://localhost:1234/examples/ to test the examples.
Download PotreeConverter and run it like this:
./PotreeConverter.exe C:/pointclouds/data.las -o C:/pointclouds/data_converted
Copy the converted directory into <potreeDirectory>/pointclouds/data_converted. Then, duplicate and rename one of the examples and modify the path in the html file to your own point cloud.
- PotreeConverter - Convert your point cloud to the Potree format.
- PotreeDesktop - Desktop version of Potree. Allows drag&drop of point clouds into the viewer.
Potree is funded by a combination of research projects, companies and institutions.
|Project Name||Funding Agency|
|Harvest4D||EU 7th Framework Program 323567|
|GCD Doctoral College||TU Wien|
We would like to thank our sponsors for their financial contributions that keep this project up and running!
- The multi-res-octree algorithms used by this viewer were developed at the Vienna University of Technology by Michael Wimmer and Claus Scheiblauer as part of the Scanopy Project.
- Three.js, the WebGL 3D rendering library on which potree is built.
- plas.io point cloud viewer. LAS and LAZ support have been taken from the laslaz.js implementation of plas.io. Thanks to Uday Verma and Howard Butler for this!
- Harvest4D Potree currently runs as Master Thesis under the Harvest4D Project
- Christian Boucheny (EDL developer) and Daniel Girardeau-Montaut (CloudCompare). The EDL shader was adapted from the CloudCompare source code!
- Martin Isenburg, Georepublic, Veesus, Sigeom Sa, SITN, LBI ArchPro, Pix4D as well as all the contributers to potree and PotreeConverter and many more for their support.