Preface

OpenCV is one of the best open source computer vision libraries available to developers. With OpenCV, developers can create complete projects for image processing, object detection, and motion detection. This learning path is for absolute beginners who wish to learn how to build OpenCV projects from scratch with working code samples. We will begin with the introduction on computer vision and its basic concepts such as filtering, histograms, Object segmentation, and object detection. As you progress through the course you will then dig deeper into image processing exploring various computer vision algorithms and understand how the latest advancement in machine learning and deep learning enhances the process of object detection. You will put this knowledge to practice by building real-world computer vision applications as you progress through the course. 

Later you will get acquainted with the API functionality of OpenCV and gain insights into design choices in a complete computer vision project. You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects such as skin color analysis, face landmark and pose estimation, Augmented reality applications, and Number plate recognition. Finally, towards the end of the learning path, you will learn about certain best practices and common pitfalls to avoid while building computer vision applications.

This learning path includes content from the following Packt products:

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