News
Version 1.0.0 release
The latest version of Draco brings many new enhancements to improve the development experience:
- Stable API release
- Support for npm Javascript package management
- Javascript based encoder
- Generalized metadata for meshes and point clouds
- Now supporting material properties included along with encoded file
- Improved compression rates:
- 15% better compression on smaller models
- 40% better compression of normals
- Performance improvements (~10% faster encoding, decoding)
- Reduced GPU memory usage:
- Option to store decoded quantized attributes
- Support for triangle strip connectivity on decoded meshes
- iOS 9 Javascript decoder
- Bitstream specification now available
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.
draco_nodejs_example.js has the example code for usage.
How to run the code:
(1) Install draco3d package :
$ npm install draco3d
(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.
References
Bunny model from Stanford's graphic department https://graphics.stanford.edu/data/3Dscanrep/