Ebook: Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing, and augmented reality

Key Features
• Develop your computer vision skills by mastering algorithms in open source computer vision 4 (OpenCV 4) and Python
• Apply machine learning and deep learning techniques with TensorFlow and Keras
• Discover the modern design patterns you should avoid when developing efficient computer vision applications

Book Description
OpenCV is one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, and image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and Python.
In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to understanding advanced concepts and even discovering the full potential of OpenCV. The book will gradually introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop apps that include facial recognition, target tracking, and augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, such as real-time data production and faster data processing. As you progress, you'll discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. In the concluding chapters, you'll get to grips with the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow and Keras.
By the end of this book, you'll be able to confidently develop advanced computer vision applications to meet your customers' demands.

What you will
• Handle files and images, and explore a variety of image processing techniques
• Understand image transformations, including translation, resizing, and cropping
• Gain insights into building histograms
• Brush up on contour detection, filtering, and drawing
• Work with augmented reality to build marker-based and markerless applications
• Explore deep learning Python libraries and OpenCV capabilities
• Work with the important machine learning algorithms in OpenCV
• Create computer vision and deep learning web applications

Who this book is for
This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

About the Author
Alberto Fernández Villán is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.