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. Chapter 1: Introduction - p. 1 2. Chapter 2: Build your first OpenVX program - p. 15 3. Chapter 3: Building an OpenVX graph - p. 35 4. Chapter 4: Using the graph API to write efficient portable code - p. 47 5. Chapter 5: Deploying an OpenVX graph to a target platform - p. 65 6. Chapter 6: Basic image transformations - p. 85 7. Chapter 7: Background subtraction and object detection - p. 125 8. Chapter 8: Computational photography - p. 135 9. Chapter 9: Tracking - p. 163 10. Chapter 10: Neural networks - p. 205 11. Chapter 11: OpenVX safety-critical applications - p. 215 12. Chapter 12: Efficient data input/output - p. 265 13. Chapter 13: Interoperability between OpenVX and other frameworks - p. 287 14. Chapter 14: Existing implementations and platforms for OpenVX - p. 311 15. Chapter 15: Changes in OpenVX 1.3 - p. 321 16. Appendix A: The list of OpenVX data objects and their attributes - p. 331 17. Appendix B: The list of computer vision graph API nodes - p. 337 18. References - p. 343 19. Index - p. 347
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. Chapter 1: Introduction - p. 1 2. Chapter 2: Build your first OpenVX program - p. 15 3. Chapter 3: Building an OpenVX graph - p. 35 4. Chapter 4: Using the graph API to write efficient portable code - p. 47 5. Chapter 5: Deploying an OpenVX graph to a target platform - p. 65 6. Chapter 6: Basic image transformations - p. 85 7. Chapter 7: Background subtraction and object detection - p. 125 8. Chapter 8: Computational photography - p. 135 9. Chapter 9: Tracking - p. 163 10. Chapter 10: Neural networks - p. 205 11. Chapter 11: OpenVX safety-critical applications - p. 215 12. Chapter 12: Efficient data input/output - p. 265 13. Chapter 13: Interoperability between OpenVX and other frameworks - p. 287 14. Chapter 14: Existing implementations and platforms for OpenVX - p. 311 15. Chapter 15: Changes in OpenVX 1.3 - p. 321 16. Appendix A: The list of OpenVX data objects and their attributes - p. 331 17. Appendix B: The list of computer vision graph API nodes - p. 337 18. References - p. 343 19. Index - p. 347
