The Khronos Group today announced the ratification and public release of the OpenVX™ 1.0.1 specification, a maintenance update to the open, royalty-free standard for cross platform acceleration of computer vision applications. OpenVX 1.0.1 integrates bug fixes and clarifications resulting from feedback from working group members and the wider industry implementing and using the specification. OpenVX enables performance and power-optimized computer vision processing, especially important in embedded and real-time uses cases such as face, body and gesture tracking, smart video surveillance, advanced driver assistance systems (ADAS), object and scene reconstruction, augmented reality, visual inspection, robotics and more. In addition to the OpenVX conformance tests and Adopters Program launched in late 2014, Khronos is now shipping an open source, fully-conformant CPU-based implementation of OpenVX 1.0 that runs on Linux, Android or Windows. The full OpenVX 1.0.1 specification and details about the sample implementation are available at www.khronos.org/openvx.
ArrayFire v3.0 has been released. This new version features major changes to ArrayFire’s visualization library, a new CPU backend, and dense linear algebra for OpenCL devices. It also includes improvements across the board for ArrayFire’s OpenCL backend. A complete list ArrayFire v3.0 updates and new features can be found in the product release notes.
Vivante Corporation announces that its GC7000-XS VX is the first vision IP solution to achieve compliance with the OpenVX™ 1.0 specification—a major achievement that comes only seven months after the introduction of OpenVX and emphasizes the cutting-edge technology available in the GC7000-XS product line with the addition of vision acceleration to a core that already has photorealistic 3D rendering capabilities.
Xilinx, Inc announced the 2015.1 release of the SDAccel development environment for OpenCL framework, C, and C++. This new release enhances the SDAccel integrated development environment (IDE), extends OpenCL standard compliance, and features an expanded ecosystem of SDAccel development environment-certified Alliance Members providing platforms, libraries, and design services.
Boston Khronos Chapter invites you to a presentation and demonstration of realtime fluid simulation using OpenGL compute shaders. Microsoft will be hosting our second event of the year at One Cambridge Center on Thu Jun 4, 6-9PM. The event will feature an in-depth talk on OpenGL and GLSL in simulation applications and will include a live demo. After the talk, there will be time for demos and networking.
Khronos Group Chapters will be hosting 2 meet ups this coming June. Our very active London Chapter will be hosting a WebGL meet up on June 2nd at Skillsmatter. We'd also like to ask you to welcome our latest Chapter addition in Milano Italy! The Milano Chapter will be holding a series of meet ups on Saturdays from June 2nd until June 27th. Khronos Chapters are local groups of Khronos API users who get together on a regular basis to expand their understanding of Khronos APIs, share their technical achievements, and socialize with like-minded colleagues. If you are interested in becoming a Chapter Leader, please take a look at our Khronos Chapter Website.
The Intel GPA now includes an expanded Frame Analyzer for OpenGL ES that includes performance optimization functionality. Developers can also run the System Analyzer and Platform Analyzer applications to analyze Android targets (Intel or ARM architecture) running OpenGL ES v1.0-3.1 from Windows 7/ 8.1 hosts as well as from Apple OS X 10.7, 10.8 or Ubuntu 12.04 or 14.04 host systems.
CVPR is the premier annual Computer Vision event comprising the main CVPR conference and several co-located workshops and short courses. The Khronos Group OpenVX working group members Victor Erukhimov from Itseez, Kari Pulli from Light and Thierry Lepley from NVIDIA will be presenting. The tutorial will focus on a tracking algorithm implemented with OpenVX. At the end of the session, participants will know how to develop code with OpenVX, and optimize for performance.