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OpenVX Programming Guide
Helps readers learn how to write fast and power-efficient OpenVX code on embedded systems
Frank Brill (Author), Victor Erukhimov (Author), Radhakrishna Giduthuri (Author), Steve Ramm (Author)
9780128164259, Elsevier Science
Paperback, published 27 May 2020
372 pages
22.9 x 15.1 x 2.4 cm, 0.59 kg
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.
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
Subject Areas: Computer vision [UYQV]
