Date: May 1-3, 2017
Location: Santa Clara, CA
Venue: Santa Clara Convention Center
Join the Khronos Group at the Embedded Vision Summit which is the only event focused exclusively on the hottest topic in the electronic industry today: deployable computer vision!
Bookmark this web page as your information hub to all that is Khronos at EVS this year.
Don’t miss this year’s OpenVX Workshop at Embedded Vision Summit. Khronos will present a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. We’ve developed a new curriculum so even if you attended in past years, this is a do-not-miss, jam-packed tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. We’ll be doing a hands-on practice session that gives participants a chance to solve real computer vision problems using OpenVX with the folks who created the API. We’ll also be talking about the OpenVX roadmap and what’s to come.
Khronos OpenVX Workshop for Vision and Neural Network Acceleration
Location: Great America Meeting Room #1
Date: Wednesday, May 3rd 2017
OpenVX is a royalty-free open standard API released by the Khronos Group. OpenVX enables performance and power-optimized computer vision and machine learning functionality, especially important in embedded and real-time use cases. The course covers the graph API that enables OpenVX developers to efficiently run computer vision algorithms on heterogeneous computing architectures. A set of example algorithms for feature tracking and neural networks mapped to the graph API will be discussed. Also covered is the relationship between OpenVX and OpenCV, as well as OpenCL. The course includes hands-on practice session that gets the participants started on solving real computer vision problems using OpenVX.
Intended Audience: Engineers, researchers, and software developers who develop computer vision and machine learning applications and want to benefit from transparent hardware acceleration.
|09:00-09:15||OpenVX ecosystem overview||Frank Brill, Cadence|
|09:15-09:45||Introduction to OpenVX||Radha Giduthuri, AMD|
|09:45-10:30||Hands-on exercise#1 (objects, graphs, alexnet)||Tomer Scwartz, Intel|
|11:30-11:45||Introduction to OpenVX SC||Jesse Villarreal, TI|
|11:45-12:30||Hands-on exercise#2 (export and deploy)||Thierry Lepley, Cadence|
|13:30-13:45||OpenVX roadmap||Frank Brill, Cadence|
|13:45-14:00||Introduction to NNEF||Peter McGuinness|
|14:00-15:00||Using SYCL with OpenVX ecosystem||Andrew Richards, Codeplay|
|15:30-16:45||OpenVX implementor presentations||AMD, Cadence, Imagination, Intel, TI|
|16:45-17:00||Wrap-up and Q&A|
Khronos Technology Related Sessions
Vision Acceleration API Landscape: Options and Trade-offs
Presentation by: Neil Trevett, President, Khronos | VP, NVIDIA
Date/Time: Monday, May 1, 2:00 PM - 2:30 PM
The landscape of APIs for accelerating vision and neural network software using specialized processors continues to rapidly evolve. Many industry-standard APIs, such as OpenCL and OpenVX, are being upgraded to increasingly focus on deep learning, and the industry is rapidly adopting the new generation of low-level, explicit GPU APIs, such as Vulkan, that tightly integrate graphics and compute. Some of these APIs, like OpenVX and OpenCV, are vision-specific, while others, like OpenCL and Vulkan, are general-purpose. Some, like CUDA and TensorRT, are vendor-specific, while others are open standards that any supplier can adopt. Which ones should you use for your project?
The OpenVX Computer Vision Library Standard for Portable, Efficient Code
Presentation by: Frank Brill, Design Engineering Director, Cadence; Chairperson, Khronos OpenVX Working Group
Date/Time: Monday, May 1, 2:30 PM - 3:00 PM
Frank Brill manages OpenVX software development for Cadence’s Tensilica Imaging and Vision DSP organization. He started his career doing computer vision research and development for video surveillance applications at Texas Instruments, and then moved into silicon device program management, where he was responsible for several digital still camera and multimedia chips. Since then, Frank has managed computer vision R&D groups at TI, NVIDIA, Samsung, and now at Cadence, and has represented all four companies in the Khronos OpenVX working group. He joined Cadence in 2016 to work full-time on OpenVX, and currently serves as chairperson of the OpenVX working group.
Training CNNs for Efficient Inference
Presentation by: Paul Brasnett, Principal Research Engineer, Imagination Technologies
Date/Time: Tuesday, May 2, 11:15 AM - 11:45 AM
Khronos Members Speaking at EVS
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