探客时代
Potree
WebGL point cloud viewer for large datasets
README
About
Potree is a free open-source WebGL based point cloud renderer for large point clouds. It is based on the TU Wien Scanopy project and research projects Harvest4D, GCD Doctoral College and Superhumans.
Newest information and work in progress is usually available on twitter
Contact: Markus Schütz (mschuetz@potree.org)
References:
Getting Started
Install on your PC
Install node.js
Install dependencies, as specified in package.json, and create a build in ./build/potree.
- ``` sh
- 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
PotreeConverter - Convert your point cloud to the Potree format.
PotreeDesktop - Desktop version of Potree. Allows drag&drop of point clouds into the viewer.
Examples
 |  |  |  |  |  |
| Basic Viewer | CA13 (18 billion Points) | Retz (Potree + Cesium) | Classifications | Various Features | Toolbar |
|---|
More Examples
 |  |  |  |  |  |
| Load Project | Matcap | Virtual Reality | Heidentor | Lion | Lion LAS |
|---|---|---|---|---|---|
| | | | |  |  |
| Lion LAZ | EPT | EPT Binary | EPT zstandard | Clipping Volume | Oriented Images |
 |  |  |  |  |  |
| Elevation Profile | Measurements | Meshes | Multiple Point Clouds | Camera Animation | Features (CA13) |
 |  |  |  |  |  |
| Annotations | Hierarchical Annotations | Animation Path | Shapefiles | Cesium CA13 | Geopackage |
 |  |  |  | ||
| Cesium Sorvilier | Custom Sidebar Section | Embedded Iframe | Gradient Colors |
VR
| |  | | |  |
| Heidentor | Eclepens | Morro Bay | Lion | Dechen Cave |
|---|
Showcase
 |  |  |  |  |  |
| Matterhorn | Retz | Lake Tahoe | Sorvilier | Grave | Chowilla |
|---|
More
 |  | |  | | |
| Chiller | Cooler | Dechen Cave | Ruins | Eclepens | Heidentor |
|---|---|---|---|---|---|
 |  |  |  |  |  |
| Building | LDHI | Lion Head | Overpass | Pielach | pompei |
 |  |  |  |  |  |
| Santorini | Skatepark | Subsea Eq. | Subsea Man. | Westend Palais | Whitby |
Funding
Potree is funded by a combination of research projects, companies and institutions.
Research projects who's funding contributes to Potree:
| Project Name | Funding Agency |
|---|---|
| LargeClouds2BIM | FFG |
| Harvest4D | EU 7th Framework Program 323567 |
| GCD Doctoral College | TU Wien |
| Superhumans | FWF |
We would like to thank our sponsors for their financial contributions that keep this project up and running!
| Diamond € 15,000+ |     |
|---|---|
| Gold € 10,000+ |  |
| Silver € 5,000+ |    |
| Bronze € 1,000+ |     Data-viewer        |
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!
Veesus, Sigeom Sa, SITN, LBI ArchPro, Pix4D as well as all the contributers to potree and PotreeConverter and many more for their support.
