"Learning OpenCV 4 Computer Vision with Python 3" by Joseph Howse teaches practical OpenCV programming through hands-on examples. The book covers fundamental concepts like image loading, basic operations, and filtering, then progresses to advanced topics like face detection and object tracking. Each chapter includes code examples that readers can run and modify.
"OpenCV 4 Computer Vision Application Programming Cookbook" by Robert Laganière provides ready-to-use code recipes for common computer vision tasks. The book explains key concepts through practical applications, from basic image manipulation to complex tasks like camera calibration and 3D reconstruction. Code samples demonstrate how to implement each technique efficiently.
"Mastering OpenCV 4 with Python" by Roy Shilkrot focuses on building real applications using OpenCV and Python. The book covers project development from start to finish, including image processing pipelines, GUI development, and deployment considerations. It includes complete projects like document scanners and augmented reality applications.