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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.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
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