Potree loader for ThreeJS, converted and adapted to Typescript.

Usage no npm install needed!

<script type="module">
  import pnextThreeLoader from 'https://cdn.skypack.dev/@pnext/three-loader';



This project is based on the core/loading parts of Potree, converted to Typescript for usage directly in ThreeJS-based third-party applications.

This project focuses solely on the loading of point clouds into ThreeJS applications and doesn't try to provide other things which are available in Potree: earth controls, measurement tools, elevation profiles, etc.

If you have a need for such auxiliary components/tools, we would most definitely welcome contributions, potentially as part of another project under the PNext organization.

And of course, suggestions for better/easier APIs or new features, as well as PRs, are very welcome too!


import { Scene } from 'three';
import { PointCloudOctree, Potree } from '@pnext/three-loader';

const scene = new Scene();
// Manages the necessary state for loading/updating one or more point clouds.
const potree = new Potree();
// Show at most 2 million points.
potree.pointBudget = 2_000_000;
// List of point clouds which we loaded and need to update.
const pointClouds: PointCloudOctree[] = [];

    // The name of the point cloud which is to be loaded.
    // Given the relative URL of a file, should return a full URL (e.g. signed).
    relativeUrl => `${baseUrl}${relativeUrl}`,
  .then(pco => {
    scene.add(pco); // Add the loaded point cloud to your ThreeJS scene.

    // The point cloud comes with a material which can be customized directly.
    // Here we just set the size of the points.
    pco.material.size = 1.0;

function update() {
  // This is where most of the potree magic happens. It updates the visiblily of the octree nodes
  // based on the camera frustum and it triggers any loads/unloads which are necessary to keep the
  // number of visible points in check.
  potree.updatePointClouds(pointClouds, camera, renderer);

  // Render your scene as normal
  renderer.render(scene, camera);

You can play with a live example here: https://codesandbox.io/s/yw2p3446j9?autoresize=1&view=preview

Local Development

To develop and contribute to the project, you need to start by cloning the repositry and then install all the dependencies with yarn:

> yarn

Once that is done you can start a development server by running:

> yarn start

You can also start the example application (/example) by running:

> yarn start:example

To create a production-ready build of the library which can be published to NPM, you can run the following command:

> yarn build

Thank You!

Thank you to Markus Sch├╝tz for his work on Potree, on which this project is based.



We use this as part of our online 3D model viewer (http://cloud.pix4d.com).