https://github.com/fabmax/kool-pclv

Cartographer compatible point cloud viewer
https://github.com/fabmax/kool-pclv

Last synced: 19 days ago
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Cartographer compatible point cloud viewer

• Host: GitHub
• URL: https://github.com/fabmax/kool-pclv
• Owner: fabmax
• License: apache-2.0
• Created: 2018-04-22T11:10:05.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-04-22T20:32:13.000Z (over 6 years ago)
• Last Synced: 2024-10-30T06:17:14.071Z (2 months ago)
• Language: Kotlin
• Size: 81.1 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# kool-pclv

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/fabmax/kool-pclv/blob/master/LICENSE)

A [Google Cartographer](https://github.com/googlecartographer) compatible web-based point cloud viewer

based on [kool](https://github.com/fabmax/kool).

Serve a point cloud from a PLY file or a Cartographer on-disk octree and view it in your browser. For now

this does more or less the same as the original

[Cartographer point cloud viewer](https://github.com/googlecartographer/point_cloud_viewer) but there's more stuff

to come.

## Building and Running

Build the project with:

```

./gradlew dist

```

Then start the server with:

```

# open up an http port for web-viewing point clouds

# slower than local variant below, but works remotely

java -jar ./dist/pclv-0.0.1.jar -d [path to point cloud data]

# or launch the visualizer window

# much faster, but only local

java -jar ./dist/pclv-0.0.1.jar -v -d [path to point cloud data]

```

The server opens up an http interface on port 8080 (can be changed with -p [port]). Open

[http://localhost:8080](http://localhost:8080) with the browser of your choice and start viewing point clouds!

### Point cloud data

Currently only ply-Files and [Cartographer](https://github.com/googlecartographer) compatible octrees

are supported. ply-Files are loaded entirely into memory so they should not be too large. Octrees are streamed from

disk on demand so they can be of more or less arbitrary size ('billions of points'). However generation of octrees is

not yet supported so you need the 

[Cartographer point cloud viewer](https://github.com/googlecartographer/point_cloud_viewer)

to generate them.