1.8.5-r-39 • Published 2 years ago

potree-zen v1.8.5-r-39

Weekly downloads
-
License
MIT
Repository
github
Last release
2 years ago

About

npm.io

Getting Started

Install on your PC

Install node.js

Install dependencies, as specified in package.json, and create a build in ./build/potree.

npm install

Run on your PC

Use the 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.

Deploy to a server

  • Simply upload the Potree folderm with all your point clouds, the build directory, and your html files to a web server.
  • It is not required to install node.js on your webserver. All you need is to host your files online.

Convert Point Clouds to Potree Format

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.

Downloads

Examples

VR

Showcase

Funding

Potree is funded by a combination of research projects, companies and institutions.

Research projects who's funding contributes to Potree:

We would like to thank our sponsors for their financial contributions that keep this project up and running!

Credits

  • 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.
1.8.5-r-39

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