Updated for OpenCV 5, this book covers the latest on depth cameras, 3D navigation, deep neural networks, and Cloud computing, helping you solve real-world computer vision problems with practical codeKey FeaturesBuild powerful computer vision applications in concise code with OpenCV 5 and Python 3Learn the fundamental concepts of image processing, object classification, and 2D and 3D trackingTrain, use, and understand machine learning models, and deploy them in the CloudBook DescriptionComputer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases 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 5 and Python 3.You’ll start by setting up OpenCV 5 with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying images, videos, and camera feeds. From taking you through image processing, video analysis, 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. You’ll tackle two popular face detection and face recognition. You’ll also learn about object classification and machine learning, which will enable you to create and use object detectors and even track moving objects in real time. Later, you’ll develop your skills in augmented reality and real-world 3D navigation. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person’s gender and age, and you’ll deploy your solutions to the Cloud.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 5 s Python 3 bindingsUnderstand image processing and video analysisUse 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 augmented reality applications, and navigate the real 3D worldTrain neural networks and deploy them as Cloud-based solutionsWho this book is forThis OpenCV book is a good fit for Python programmers who want to get started with computer vision and machine learning. This book will also be useful for Computer vision and AI ML developers who want to expand their OpenCV skills as well as experts who want to stay up-to-date with OpenCV 5.Table of ContentsSetting Up OpenCV Handling Files, Cameras, and GUIsProcessing Images with OpenCVDepth Estimation and SegmentationDetecting and Recognizing Faces Retrieving Images and Searching Using Image DescriptorsBuilding Custom Object DetectorTracking ObjectsCamera Models and Augmented Reality3D Reconstruction and NavigationNeuraNetworks with OpenCV – an IntroductionOpenCV Applications at ScaleAppendix Bending Color Space wi

Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms

Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms PDF

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