The Khronos OpenVX working group is soliciting quotes for enhancing and expanding the OpenVX Conformance Test Suite. OpenVX is an open, royalty-free standard for cross platform acceleration of computer vision applications. Any company, whether a Khronos member or not, is cordially invited to contact Khronos and provide a quote. Interested parties can access the details of the request on the Khronos website.
Imagination Technologies announced PowerVR ‘Series8XE Plus’ GPUs this week. The Series8XE Plus GPUs include support for the latest APIs including OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.0 and OpenVX 1.1.
The Khronos Bangalore Chapter would like to invite industry professionals and enthusiasts in Bangalore for a short tutorial on OpenVX. Professionals in Bangalore working on embedded vision applications/R&D in domains like ADAS, imaging, sensor fusion, autonomous driving, machine vision are invited to attend. The Meetup is being held on January 20th at Texas Instrument India in the Bagmane Tech park. Registration ends January 18th.
FotoNation Limited and VeriSilicon Holdings Co., Ltd have entered into an agreement to jointly develop a next generation image processing platform that offers best-in-class programmability, power, performance and area for computer vision (CV), computational imaging (CI) and deep learning. The market-ready IP platform, named IPU 2.0, will be available for customer license and design in the first quarter of 2017. IPU 2.0 offers a unified programing environment and pre-integrated imaging features for a wide range of applications across surveillance, automotive, mobile, IoT and more. IPU 2.0 will use open initiatives such as OpenVX and OpenCL.
Imagination Technologies announces that a PowerVR GPU is the first to achieve Khronos OpenVX 1.1 conformance. With OpenVX, developers can run fully optimized vision algorithms on the highly parallel, power-efficient PowerVR GPUs that are at the heart of many of the world’s mobile, automotive and embedded devices. Frank Brill, chairman of the Khronos OpenVX working group, says: “The momentum we are seeing with OpenVX is strong and growing, with conformant OpenVX 1.0 implementations and tools shipping from numerous vendors. We congratulate Imagination on being the first adopter member to achieve OpenVX 1.1 conformance, enabling developers creating applications on Imagination’s popular PowerVR GPUs to take advantage of OpenVX 1.1’s expanded range of processing functions and enhanced flexibility.” View all products that are in conformance with OpenVX or learn more about becoming an OpenVX adopter.
Neuro-Biomorphic Engineering Lab, Faculty of Engineering, Jerusalem College of Technology, Jerusalem, Israel has posted on Github their OpenVX based PyOpenVX library - PythonOpenVX. Included is a complete article and discussion outlining how to use this framework.
The Khronos Group today announced the creation of two standardization initiatives to address the growing industry interest in the deployment and acceleration of neural network technology. Firstly, Khronos has formed a new working group to create an API independent standard file format for exchanging deep learning data between training systems and inference engines. Work on generating requirements and detailed design proposals for the Neural Network Exchange Format (NNEF™) is already underway, and companies interested in participating are welcome to join Khronos for a voice and a vote in the development process. Secondly, the OpenVX™ working group has released an extension to enable Convolutional Neural Network topologies to be represented as OpenVX graphs and mixed with traditional vision functions. Read the press release about both of these Neural Network Standard Initiatives.
Intel has just acquired Movidius, a specialist in AI and computer vision processors. Movidius has been attacking the challenge of getting our devices not just to see, but also to think, at the device level - combining advanced algorithms with dedicated low-power hardware. At Intel, we’ll be part of a team that is attacking this challenge from the cloud, through the network and on the device.