The latest version of Draco brings a number of new compression
enhancements for even smaller models:
- Improved compression
- Up to 40% better compression of normals
- Up to 5% better compression for models with multiple attributes
- Faster decode speeds
- 30% faster decoding for models with multiple attributes for lower compression levels 4 and below
- Note: Decreases compression by 10%.
- Encoding of metadata to .obj (e.g. Draco can preserve material or sub-object names)
- Security fixes
-Increase version to 1.0.1
-Update Javascript decode timing example
-Fix async creation of DracoDecoderModule
-fixes wasm parallel decoding
-Introduce base class for geometric normal predictor
-Added integer attribute interface to JavaScript decoder
-Move loading Draco decoder into three.js Draco loader
-Add compiler launcher support to CMake build
-Add sanitizer support via CMake build
-Check we are not reading past the end of the attribute buffer
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
1. More optimized selection of prediction schemes for different
compression levels on the encoder side.
2. Improved robustness to tampered input data (.drc)
3. Added support for strognly typed vectors of bools
4. Support for logging and squared lenght to our VectorND class
5. Added support for partially defined indices in .OBJ files
6. Added support for loading of normal vectors in .PLY files
1. Fixed crasher when dependent attributes were encoded.
2. Improved documentation to PointCloud::AddAttribute() methods
3. Fixed some of the inconsistencies with int64_t vs size_t usage
4. Fixed potential IO problems when the input stream does not start from 0.
