News

Check out the README file for news about this release.

Description

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Draco was designed and built for compression efficiency and speed. The code supports compressing points, connectivity information, texture coordinates, color information, normals, and any other generic attributes associated with geometry. With Draco, applications using 3D graphics can be significantly smaller without compromising visual fidelity. For users, this means apps can now be downloaded faster, 3D graphics in the browser can load quicker, and VR and AR scenes can now be transmitted with a fraction of the bandwidth and rendered quickly.

Draco is released as C++/Javascript source code that can be used to compress 3D graphics as well as decoders for the encoded data.

NPM Package

The code shows a simple example of using Draco encoder and decoder with Node.js. draco_encoder_node.js and draco_decoder_node.js are modified Javascript encoding/decoding files that are compatible with Node.js.

How to run the code:

(1) Install draco3d package :

$ npm install draco3d

Working example

draco_nodejs_example.js has the example code for usage.

(2) Run example code to test:

$ cp node_modules/draco3d/draco_nodejs_example.js .
$ cp node_modules/draco3d/bunny.drc .
$ node draco_nodejs_example.js

The code loads the Bunny model, it will first decode to a mesh and then encode it with different settings.

Minimal examples

These examples only show how to load the encoder and decoder modules. draco_minimal_encoder_decoder_example.js, draco_minimal_encoder_example.js, and draco_minimal_decoder_example.js has the example code for usage.

(2) Run the code to test:

$ node draco_minimal_encoder_decoder_example.js

$ node draco_minimal_encoder_example.js

$ node draco_minimal_decoder_example.js

References

Bunny model from Stanford's graphic department https://graphics.stanford.edu/data/3Dscanrep/