Frank Brill, Victor Erukhimov, Radhakrishna Giduthuri, Steve Ramm

OpenVX Programming Guide (eBook, ePUB)

• Format: ePub

Produktbeschreibung

OpenVX is the computer vision API adopted by many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. OpenVX Programming Guidebook presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety Critical standard.

This book gives a high-level overview of the OpenVX standard, its design principles, and overall structure. It covers computer vision functions and the graph API, providing examples of usage for the majority of the functions. It is intended both for the first-time user of OpenVX and as a reference for experienced OpenVX developers.

• Get to grips with the OpenVX standard and gain insight why various options were chosen
• Start developing efficient OpenVX code instantly
• Understand design principles and use them to create robust code
• Develop consumer and industrial products that use computer vision to understand and interact with the real world

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 372
• Erscheinungstermin: 22. Mai 2020
• Englisch
• ISBN-13: 9780128166192
• Artikelnr.: 61688917

Autorenporträt

Frank Brill manages OpenVX software development for Cadence's Tensilica Imaging and Vision DSP organization. Frank obtained his PhD in Computer Science from the University of Virginia and started his career doing computer vision research and development for video security and surveillance applications at Texas Instruments, where he obtained 5 patents related to this work. He then moved into silicon device program management, where he was responsible for several digital still camera and multimedia chips, including the first device in TI's DaVinci line of multimedia processors (the DM6446). Frank worked at NVIDIA from 2013 to 2014, where he managed the initial development of NVIDIA OpenVX-based VisionWorks toolkit, and then worked at Samsung from 2014 to 2016, where he managed a computer vision R&D team in Samsung Mobile Processor Innovation Lab.

Inhaltsangabe

1. Introduction2. Build your first OpenVX program3. Using the Graph API to write efficient portable code4. Building an OpenVX graph5. Deploying an OpenVX graph to a target platform6. Basic image transformations7. Background subtraction and object detection8. Computational photography9. Efficient data input/output10. Tracking11. Use OpenVX for deep neural networks12. OpenVX safety critical applications13. Using OpenVX with other vision frameworks14. Making the most of your OpenVX code