Building Computer Vision Projects with OpenCV 4 and C++

OpenCV is one of the best open source libraries available and can
help you focus on constructing complete projects on image processing,
motion detection, and image segmentation.

Whether you're completely new to computer vision or already have
basic knowledge of its concepts, this Learning Path is your guide to
understanding OpenCV concepts and algorithms through real-world examples
and activities. Through various projects, you'll also discover how to
use complex computer vision and machine learning algorithms and face
detection to extract the maximum amount of information from images and
videos. In later chapters, you'll get an understanding of how to enhance
your videos and images with optical flow analysis and background
subtraction. Sections in the Learning Path will help you get to grips
with text segmentation and recognition, in addition to guiding you
through the basics of the new and improved deep learning modules. By the
end of this Learning Path, you will have mastered commonly used
computer vision techniques to build OpenCV projects from scratch.

This Learning Path includes content from the following Packt books:

• Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá
• Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi