![]() ![]() By the end of this book, you’ll have the skills you need to execute real-world computer vision projects. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. Later, you’ll develop your skills in 3D tracking and augmented reality. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Next, you’ll tackle two popular challenges: face detection and face recognition. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3. This book will not only help those who are getting started with computer vision but also experts in the domain. Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code Key Features Build powerful computer vision applications in concise code with OpenCV 4 and Python 3 Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking Train, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networks Book Description Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. ![]() We only index and link to content provided by other sites. Disclaimer: This site does not store any files on its server.
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