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An Upcoming Tutorial: OpenVX, A Framework for Accelerating Computer Vision

On Tuesday, May 17, 2016 from 2:00 PM to 6:00 PM (PDT), Embedded Vision Alliance member company AMD will host a tutorial on OpenVX, a royalty-free open standard API released by the Khronos Group in 2014. OpenVX enables performance and power-optimized computer vision functionality, especially important in embedded and real-time use cases.

From the event page:

The course covers both the function-based API and the graph (pipeline) API that enables developers to efficiently run portable computer vision algorithms on heterogeneous computing architectures (CPU and GPU).

A set of example algorithms from computational photography and ADAS (advanced driver assistance systems), mapped to OpenVX will be discussed.

The tutorial includes a hands-on practice session that gets participants started on solving real computer vision problems using AMD’s highly optimized open source OpenVX implementation.

Please bring your own laptop (Windows, Mac or Linux); all code will be provided.

Also included is the use of AMD’s rapid vision prototyping tool RunVX. RunVX allows you to get production computational performance on complex algorithms with just a few lines of scripting code.

The event cost is $50; for more information and to register, please see the event page.