Kiriti Nagesh Gowda, Senior Member of the Technical Staff at AMD and Chair of the OpenVX Working Group at the Khronos Group, presents the “OpenVX Standard API: Computer Vision for the Masses?” tutorial at the May 2023 Embedded Vision Summit.
Today, a great deal of effort is wasted in optimizing and re-optimizing computer vision and machine learning application software as algorithms change and as developers target different processors. Developers need a way to deploy their applications on any processor, taking advantage of processor features that boost performance without having to worry about the details of mapping each algorithm to each processor.
OpenVX is a mature, open and royalty-free standard for cross-platform acceleration. It enables computer vision and machine learning applications to be written once, and then run on a variety of target processors, taking advantage of each processor’s unique capabilities. In this talk, Gowda explores the key features of OpenVX 1.3.1 and shows how developers are leveraging them. He illustrates the performance, portability and memory footprint advantages of OpenVX via open-source code samples. He also shares new OpenVX extensions and usability enhancements.
See here for a PDF of the slides.
