“NVIDIA VisionWorks, a Toolkit for Computer Vision,” a Presentation from NVIDIA

Elif Albuz, Technical Lead for the VisionWorks Toolkit at NVIDIA, presents the "NVIDIA VisionWorks, a Toolkit for Computer Vision" tutorial at the May 2016 Embedded Vision Summit.

In this talk, Albuz introduces the NVIDIA VisionWorks toolkit, a software development package for computer vision and image processing. VisionWorks implements and extends the Khronos OpenVX standard, and is optimized for CUDA-capable GPUs and SOCs, enabling computer vision applications on a scalable and flexible platform. VisionWorks implements a thread-safe API and framework for seamlessly adding user-defined primitives.

The talk gives an overview of the VisionWorks toolkit, OpenVX API and framework, and computer vision pipeline examples exercising the OpenVX API. The session then presents an example showing integration of the library API into a computer vision pipeline, and describes CUDA interoperability and ways to transition existing computer vision pipelines into the OpenVX API.

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.



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