PotreeConverter | Create multi res point cloud to use with potree

by potree JavaScript Version: 2.1.1 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PotreeConverter Summary

PotreeConverter is a JavaScript library. PotreeConverter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

PotreeConverter generates an octree LOD structure for streaming and real-time rendering of massive point clouds. The results can be viewed in web browsers with Potree or as a desktop application with PotreeDesktop.

Support

Quality

Security

License

Reuse

Support

PotreeConverter has a low active ecosystem.

It has 536 star(s) with 380 fork(s). There are 68 watchers for this library.

It had no major release in the last 12 months.

There are 107 open issues and 327 have been closed. On average issues are closed in 166 days. There are 20 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PotreeConverter is 2.1.1

Quality

PotreeConverter has 0 bugs and 0 code smells.

Security

PotreeConverter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PotreeConverter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PotreeConverter is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PotreeConverter releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

PotreeConverter saves you 2867 person hours of effort in developing the same functionality from scratch.

It has 6214 lines of code, 4 functions and 133 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PotreeConverter

Get all kandi verified functions for this library.

PotreeConverter Key Features

No Key Features are available at this moment for PotreeConverter.

PotreeConverter Examples and Code Snippets

No Code Snippets are available at this moment for PotreeConverter.

Community Discussions

Trending Discussions on PotreeConverter

Potree-core: points aren't rendered with Reactjs

QUESTION

Potree-core: points aren't rendered with Reactjs

Asked 2020-Sep-29 at 11:07

I have a pointcloud data created with PotreeConverter that i want to load with potree-core in a THREEjs scene.

when I run the scene as is, from a flask backend everything works, I have a point cloud and a bbox around it. but when the scene is wrapped around a React component, the bbox is rendered but not the points

any reason it should act like this? from what I understand react is rendered on a shadowDOM which is separates from the original DOM, maybe it has something to do with it?

...

ANSWER

Answered 2020-Sep-29 at 11:07

I initialize my potree-core as follow, maybe gives you a clue:

Source https://stackoverflow.com/questions/64050774

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PotreeConverter

In Potree, modify one of the examples with following load command:.
Download windows binaries or Download source code Install CMake 3.16 or later Create and jump into folder "build" mkdir build cd build run cmake ../ On linux, run: make On windows, open Visual Studio 2019 Project ./Converter/Converter.sln and compile it in release mode
run PotreeConverter.exe <input> -o <outputDir> Optionally specify the sampling strategy: Poisson-disk sampling (default): PotreeConverter.exe <input> -o <outputDir> -m poisson Random sampling: PotreeConverter.exe <input> -o <outputDir> -m random

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: