Starting today, Facebook is rolling out support for the industry standard glTF 2.0 file format for Facebook 3D posts. 3D objects or scenes saved in glTF can be dragged straight to a browser window to add to your Facebook account. The company is also adding the feature to its platform tools so developers can build ways to export creations to Facebook from various apps. With glTF 2.0 support, Facebook is opening up even more ways to share 3D content on Facebook from more creation tools and platforms. They're introducing new Graph API endpoints with 3D Post support so developers can build seamless 3D sharing into any app — letting people share interactive objects or scenes directly to Facebook with just a click. Learn more about glTF and what Facebook is doing here, and check out a cool example of glTF in action here.
The next AEC Hackathon will be held in San Francisco on February 23-25, 2018. Four challenges await: Best overall project; Best project that solves a big AEC (Architecture, Engineering, Construction) problem; Best hack from a past event and Best mashup project. Tickets are now online. Get your Hackathon hat on and head over to the event registration today! The Khronos Group is a proud supporting organization of AEC Hackathon.
The Khronos Group announces the release of a geometry compression extension to glTF 2.0 using Google Draco technology to significantly reduce the size of glTF models and scenes. The Khronos glTF Draco extension specification is accompanied by optimized, open source compression and decompression libraries on the Draco GitHub site to enable the rapid deployment of glTF compressed geometry into tools, engines, applications, and browsers everywhere.
NNEF and ONNX are two similar open formats to represent and interchange neural networks among deep learning frameworks and inference engines. At the core, both formats are based on a collection of often used operations from which networks can be built. Because of the similar goals of ONNX and NNEF, we often get asked for insights into what the differences are between the two. Read the Khronos blog to learn more about the similarities and differences between NNEF and ONNX.
Khronos announced the conformance program for OpenGL 4.6 and Intel has successfully passed conformance tests for its GPU models for the Mesa Linux driver. For specifics on the conformant hardware you can check the list of conformant OpenGL products at the Khronos website. Learn more about these drivers and the OpenGL conformance tests and why they are important to you.
The Khronos™ Group, an open consortium of leading hardware and software companies creating advanced acceleration standards, announces the launch of the OpenGL® 4.6 Adopters Program to enable implementations to become officially conformant to the latest generation OpenGL specification. The significantly enhanced OpenGL 4.6 Conformance Test Suite used in the Adopters Program has been released in open source on GitHub to enable industry participation in testing and ongoing conformance test suite improvements. General information on Khronos Adopters Programs can be found here.
Unreal Engine 4.19 preview has a experimental importer for glTF. This is an open format, that, once final, should work better than FBX, and actually work great with Blender. The Unreal Engine forums mentions that "Right now its much superior to FBX for some simple cases. The cool point about glTF is that the same file holds a full scene, with multiple 3d objects, each of them with animation, and each of them with materials, and each material actually imports as a material graph, and with textures." Take a look and tell us what you think.
The Khronos Group will be at GDC & VRDC 2018. Be sure to mark us in your calendar for the Khronos Dev Day on March 19th in Moscone, West Hall, Room 3022. This years sessions are now posted and include WebGL, glTF, OpenXR and Vulkan. Be sure to book mark the Khronos GDC event page and checkout some of our other upcoming events and meet ups.
Codeplay has written up a detailed run through of how they how they ensure C++ fundamental types are translated correctly from SYCL code through to OpenCL, retaining their correct size and signedness.
If you're an application developer, this will help you learn a little about how SYCL works under the hood. If you're looking to implement SYCL, this will help you find a way to get the compiler to do your lifting for you.
Imagination Technologies announces the PowerVR CLDNN SDK for developing neural network applications on PowerVR GPUs. The neural network SDK makes it easy for developers to create Convolutional Neural Networks (CNNs) using PowerVR hardware. CLDNN sits on top of OpenCL making use of OpenCL constructs so it can be used alongside other custom OpenCL code. It uses standard OpenCL memory, so it can be used alongside standard OpenGL ES contexts. Learn more about CLDNN and download the SDK today.