OpenVX: A Framework for Accelerating Computer Vision Tutorial

Radhakrishna Giduthuri is aPrincipal Member of Technical Staffat Advanced Micro Devices (AMD) focusing on development of computer vision toolkit and libraries for heterogeneous compute platforms. He has extensive background with software design and performance tuning for various computer architectures ranging from General Purpose DSPs, Customizable DSPs, Media Processors, Heterogeneous Processors, GPUs, and several CPUs. He is a member of Khronos OpenVX working group representing AMD. In the past he was a member of SMPTE video compression standardizing committee for several years. He is also technical program chair of IEEE Signal Processing Society Chapter of Santa Clara Valley.

Radhakrishna Giduthuri, AMD

OpenVX is 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. 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.
Learning Outcomes: Understanding the architecture of OpenVX computer vision API, its relation to OpenCV, OpenGL, and OpenCL APIs; getting proficient in using OpenVX and RunVX  for real-time image processing and computer vision tasks.

AMD Commons C-6/7/8

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OpenVX: A Framework for Accelerating Computer Vision Tutorial

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OpenVX: A Framework for Accelerating Computer Vision Tutorial

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