Kiriti Nagesh Gowda, staff engineer in the Machine Learning and Computer Vision Group at AMD and chair of the Khronos OpenVX working group, presents the “Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX” tutorial at the September 2020 Embedded Vision Summit.
OpenVX is a mature computer vision and machine learning API standard by the Khronos group, developed to be a novel, open and royalty-free standard for cross-platform acceleration. Real-world computer vision and machine learning applications are still in their infancy, and there are many efforts to monopolize this landscape with proprietary hardware and software solutions. Developers need an open royalty-free API to enable them to deploy their applications on any hardware, without worrying about portability and performance optimizations. This would help democratize the application sphere and help accelerate progress in the industry.
In this talk, Gowda presents the latest features in OpenVX 1.3 and how these features are being leveraged by OpenVX adopters. He clears up some misconceptions about OpenVX adoption and usability. In addition, through his analysis of implementations, you will learn about the performance, portability and memory footprint advantages of OpenVX via open-sourced samples.
See here for a PDF of the slides.
