OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you ll work through recipes that implement a variety of tasks, such as facial recognition and detection. With 70 self-contained tutorials, this book examines common pain points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs.This book begins by setting up OpenCV, and explains how to manipulate pixels. You ll understand how you can process images with classes and count pixels with histograms. You ll also learn detecting, describing, and matching interest points. As you advance through the chapters, you ll get to grips with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you ll cover deep learning concepts such as face and object detection.By the end of the book, you ll be able to confidently implement a range to computer vision algorithms to meet the technical requirements of your complex CV projects