Openvx tagged news

Today The Khronos Group, announces the ratification and public release of the OpenVX™ 1.3 specification, along with code samples and a prototype conformance test suite. OpenVX is a royalty-free open standard for portable, optimized, and power-efficient vision and machine learning inferencing acceleration, vital to embedded and real-time use cases, such as face-, body-, and gesture-tracking, smart video surveillance, advanced driver assistance systems, object and scene reconstruction, augmented reality, visual inspection, robotics, and more. Also available today is an open source implementation of OpenVX 1.3 for Raspberry Pi to make OpenVX widely accessible to developers. The new specification can be found on the OpenVX registry.

Khronos Releases OpenVX 1.3

Today The Khronos Group announces the ratification and public release of the OpenVX™ 1.3 specification, along with code samples and a prototype conformance test suite. OpenVX is a royalty-free open standard for portable, optimized, and power-efficient vision and machine learning inferencing acceleration, vital to embedded and real-time use cases, such as face-, body-, and gesture-tracking, smart video surveillance, advanced driver assistance systems, object and scene reconstruction, augmented reality, visual inspection, robotics, and more. Also available today is an open source implementation of OpenVX 1.3 for Raspberry Pi to make OpenVX widely accessible to developers. The new specification can be found on the OpenVX registry. Read the press release for more details and give Khronos feedback on the OpenVX community forums.

Today The Khronos Group announces a significant expansion in the ecosystem for the NNEF™ (Neural Network Exchange Format) open, royalty-free standard that enables hardware manufacturers to reliably exchange trained neural networks between training frameworks and inference engines. New and improved NNEF open source convertors, including for TensorFlow Lite and ONNX, enables NNEF to be used to carry trained frameworks from a wider range of training frameworks. A set of extensions to the NNEF 1.0 specification enable NNEF files to contain a richer network of operations and topologies. Finally, an openly available NNEF Model Zoo enables inferencing engines to test their reliable import of NNEF models. More information on NNEF can be found at the NNEF Home Page.

Frank Brill, Design Engineering Director at Cadence, presents the “Portable Performance via the OpenVX Computer Vision Library: Case Studies” tutorial at the May 2019 Embedded Vision Summit. For the full version of this video, along with hundreds of others on various embedded vision topics, please visit the Embedded Vision website.

All of the presentations and videos from the Khronos OpenVX workshop at the 2019 Embedded Vision Summit are now online. If you were unable to attend this workshop, you may now watch the seven sessions online and follow along with the slide presentations:

  • Introduction and OpenCL Overview & Update – Neil Trevett, NVIDIA: slides, video
  • OpenCL & SYCL – Andrew Richards, Codeplay: slides, video
  • Intel Open Source SYCL Compiler Project – Konstantin S. Bobrovsky, Intel: slides, video
  • OpenVX Presentations – Frank Brill, Cadence / Niclas Danielsson & Mikael Pendse, Axis : here & here, video
  • Inference with OpenVX – Mike Schmit, AMD: slides, video
  • NNEF Presentation – Gergely Debreczeni, AImotive: slides, video
  • OpenVX Hands-On - Part 1 – Rajy Rawther & Kiriti Nagesh Gowda, AMD: slides, video

Codeplay Software has announced the availability of this fully supported edition of their popular SYCL implementation providing advanced features and premium technical support to developers seeking to bring advanced vision and AI products to the market. The first releases will support Intel GPUs and Renesas R-Car products, with other platforms becoming available soon.

Cadence Design Systems and ArcSoft announced they have partnered to develop AI and vision applications for Cadence Tensilica Vision DSPs. ArcSoft has collaborated with Cadence to port beauty shot, high dynamic range (HDR), bokeh and facial unlock applications to the Vision P6 DSP. The software environment includes complete, optimized support for more than 1,500 OpenCV-based vision and OpenVX 1.1 library functions.

The Khronos Group is accepting proposals for an OpenVX project. The project will deliver a fully conformant implementation of the OpenVX 1.2.1 standard that is optimized for the Raspberry Pi 3 Model B+ (or similar) platform. The project will demonstrate the performance advantage of using the OpenVX API by implementing several optimizations that are enabled by OpenVX. Deadline for submissions is January 15, 2019. Complete details here.

Khronos Request for Quote: OpenVX Implementation on the Raspberry Pi Platform

The Khronos Group is accepting proposals for an OpenVX project. The project will deliver a fully conformant implementation of the OpenVX 1.2.1 standard that is optimized for the Raspberry Pi 3 Model B+ (or similar) platform. The project will demonstrate the performance advantage of using the OpenVX API by implementing several optimizations that are enabled by OpenVX. Deadline for submissions is January 15, 2019. Complete details here.

Percepio Tracealyzer for OpenVX allows you to visualize the execution of OpenVX applications and identify bottlenecks where optimization can make a big difference. Tracealyzer for OpenVX is initially available for Synopsys EV6x embedded vision processors, leveraging the built-in trace support in Synopsys ARC MetaWare EV Development Toolkit. Percepio Application Note PA-025 describes how to get started with Tracealyzer for OpenVX, using Synopsys EV6x processors and Synopsys MetaWare EV Development Toolkit.

Neil Trevett, President of the Khronos Group, delivers the presentation “Update on Khronos Standards for Vision and Machine Learning” at the Embedded Vision Alliance’s September 2018 Vision Industry and Technology Forum. Neil Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI. For the full version of this video, along with hundreds of others on various embedded vision topics, please visit the Embedded Vision website.

NXP delivers a wide range of processing solutions on which machine-learning (ML) applications can run. Developers will need the associated software and tools to make them work and this is where eIQ framework and development tools come into play. The eIQ framework is designed to work with hardware abstraction layers like OpenCL, OpenVX, and the Arm Compute Library, as well as inference engines like the Arm NN (neural net), Android NN, GLOW, and OpenCV.