Now in its third edition, this is the original book on OpenCV's Python bindings. Readers
will learn a great range of techniques and algorithms, from the classics to the state-of-theart, and from geometry to machine learning. All of this is in aid of solving practical
computer vision problems in well-built applications. Using OpenCV 4 and Python 3, we
adopt an approach that is accessible to computer vision novices, yet also informative for
experts who want to expand and update their skills.
We start with an introduction to OpenCV 4 and explain how to set it up with Python 3 on
various platforms. Next, you'll learn how to perform basic operations such as reading,
writing, manipulating, and displaying still images, videos, and camera feeds. You'll learn
about image processing and video analysis, along with depth estimation and segmentation,
and you'll gain practice by building a simple GUI application. Next, you'll tackle two
popular problems: face detection and face recognition.