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Learning OpenCV 5 Computer Vision with Python

You're reading from   Learning OpenCV 5 Computer Vision with Python Tackle computer vision and machine learning with the newest tools, techniques and algorithms

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Product type Paperback
Published in Jul 2025
Publisher Packt
ISBN-13 9781803230221
Length
Edition 4th Edition
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (12) Chapters Close

1. Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning FREE CHAPTER
2. Setting Up OpenCV 3. Handling Files, Cameras, and GUIs 4. Processing Images with OpenCV 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. OpenCV Applications at Scale Appendix A: Bending Color Space with the Curves Filter

Optimizing OpenCV for specific hardware

Generally, the setup instructions in this chapter are compatible with any hardware architecture that is supported by OpenCV and the operating system. For example, the setup instructions that target Linux operating systems will work equally well on x64, x86, ARM, or RISC-V hardware (except that the optional OpenNI package is unavailable for RISC-V).

That said, OpenCV supports many optional optimizations for specific hardware. By following the instructions in this chapter, you will get an OpenCV installation that uses a default set of optimizations for your hardware. The defaults are generally good, but for some applications, you could get even better performance with a more highly customized installation of OpenCV. Here are a few examples of use cases:

  • For x64, x86, or ARM processors, OpenCV can optionally integrate with Intel Thread Building Blocks (TBB), a multithreading library. OpenCV can use TBB to speed up certain parallel algorithms, notably...
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