glTF is a 3D asset format developed by the Khronos Group that is widely adopted, including for use in 3D Commerce web and native applications. The 3D Commerce Working Group at Khronos brings together industry-leading e-commerce companies to remove the barriers to deploying 3D in e-commerce at industrial scale. Today, the Working Group has released the open source glTF Asset Auditor Tool for content creators throughout the 3D Commerce supply chain to use as part of their asset validation pipelines. By enabling rigorous asset QA to be consistently applied across companies, the amount of 3D model reworking can be greatly reduced while increasing compatibility and ease of use for downstream clients.

Although the glTF Asset Auditor has been initially created to address the needs of 3D Commerce, it works with any glTF file and can benefit any industry that needs to reliably deploy and use 3D assets at a pervasive scale. Read the blog to learn more.

To further its goal of passing trained frameworks to embedded inference engines, the Khronos Group adds to its existing converters with two new bidirectional converters. Now available on the NNEF GitHub, these new tools enable easy conversion of trained models, including quantized models, between TensorFlow or Caffe2 formats and NNEF format.

The Khronos Group last week announced the launch of a project with Au-zone of Calgary, Canada to produce two conversion tools that will allow developers to import NNEF files into TensorFlow and Caffe2 as well as export NNEF files from those training frameworks. In line with Khronos’ recent policy, the tools will be made available in the second half of 2018 as open source projects on Github where contributions from the open source community will be welcomed. These tools will join the converters for Caffe and Tensorflow (which has two formats to consider) and the NNEF parser that are all already available.