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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Technical requirements

This chapter uses Python, OpenCV, and NumPy. In regards to OpenCV, we use the optional opencv_contrib modules, which include additional algorithms for keypoint detection and matching. To enable the SIFT and SURF algorithms (which are patented and not free for commercial use), we must configure the opencv_contrib modules with the OPENCV_ENABLE_NONFREE flag in CMake. Please refer to Chapter 1, Setting Up OpenCV, for installation instructions. Additionally, if you have not already installed Matplotlib, install it by running $ pip install matplotlib (or $ pip3 install matplotlib, depending on your environment).

The complete code for this chapter can be found in this book's GitHub repository, https://github.com/PacktPublishing/Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition ...

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Publisher Resources

ISBN: 9781789531619Supplemental Content