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 codeKey FeaturesBuild powerful computer vision applications in concise code with OpenCV 4 and Python 3Learn the fundamental concepts of image processing, object classification, and 2D and 3D trackingTrain, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networksBook DescriptionComputer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3.You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. 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 tackle two popular challenges: face detection and face recognition. 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. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age.By the end of this book, you'll have the skills you need to execute real-world computer vision projects.What you will learnInstall and familiarize yourself with OpenCV 4's Python 3 bindingsUnderstand image processing and video analysis basicsUse a depth camera to distinguish foreground and background regionsDetect and identify objects, and track their motion in videosTrain and use your own models to match images and classify objectsDetect and recognize faces, and classify their gender and ageBuild an augmented reality application to track an image in 3DWork with machine learning models, including SVMs, artificial neural networks (ANNs), and deep neural networks (DNNs)Who this book is forIf you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must.Table of ContentsUnderstanding OpenCV and Setting Up EnvironmentHandling Files, Cameras, and GUIsProcessing Images with OpenCVDepth Estimation and SegmentationDetecting and Recognizing FacesRetrieving Images and Searching Using Image DescriptorsBuilding Custom Object DetectorsTracking ObjectsCamera Models and Augmented RealityNeural Networks with OpenCV - An IntroductionAppendix 1: Bending Color Space with a Curves Filter
✔ Author(s): Joseph Howse,Joe Minichino
✔ Title: Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
✔ Rating : 4.3 out of 5 base on (96 reviews)
✔ ISBN-10: 1789531616
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Learning OpenCV 4 Computer Vision with Python 3 by Joseph Howse
Carla Oliver
Delve into a dystopian world where survival hinges on ingenuity and courage. The author's vivid descriptions and fast-paced narrative keep you on the edge of your seat. The protagonist's journey is filled with thrilling moments and unexpected twists. The world-building is detailed and immersive, creating a believable and haunting setting. It's a gripping tale that explores themes of power, resistance, and hope. Ideal for fans of dystopian fiction.
Audrea Mahmood
Experience the profound impact of art and creativity in this beautifully written novel. The author's evocative writing and compelling characters bring the story to life. Each chapter explores the transformative power of art with sensitivity and depth. The plot is both thought-provoking and emotionally resonant. It's a narrative that celebrates the beauty of human expression. Ideal for readers who appreciate stories about art and inspiration.
Evie Ferguson
Uncover the secrets of a haunted mansion in this chilling gothic novel. The author's atmospheric writing and suspenseful plot make for a captivating read. Each character's hidden motives and dark pasts add to the tension. The twists and surprises keep you guessing until the very end. It's a haunting and immersive story that you won't want to put down. Perfect for fans of gothic fiction.
