9781803234250_pstrongUpdated 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 code/strong/ph4Key Features/h4ulliBuild powerful computer vision applications in concise code with OpenCV 5 and Python 3/liliLearn the fundamental concepts of image processing, object classification, and 2D and 3D tracking/liliTrain, use, and understand machine learning models, and deploy them in the Cloud/li/ulh4Book Description/h4pComputer 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. Youll be able to put theory into practice by building apps with OpenCV 5 and Python 3./ppYoull start by setting up OpenCV 5 with Python 3 on various platforms. Next, youll 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 youll have opportunities for hands-on activities. Youll tackle two popular challenges: face detection and face recognition. Youll 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, youll develop your skills in augmented reality and real-world 3D navigation. Finally, youll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a persons gender and age, and youll deploy your solutions to the Cloud./ppBy the end of this book, youll have the skills you need to execute real-world computer vision projects./ph4What you will learn/h4ulliInstall and familiarize yourself with OpenCV 5s Python 3 bindings/liliUnderstand image processing and video analysis/liliUse a depth camera to distinguish foreground and background regions/liliDetect and identify objects, and track their motion in videos/liliTrain and use your own models to match images and classify objects/liliDetect and recognize faces, and classify their gender and age/liliBuild augmented reality applications, and navigate the real 3D world/liliTrain neural networks and deploy them as Cloud-based solutions/li/ulh4Who This Book Is For/h4pThis 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./ph4Table of Contents/h4olliSetting Up OpenCV/liliHandling Files, Cameras, and GUIs/liliProcessing Images with OpenCV/liliDepth Estimation and Segmentation/liliDetecting and Recognizing Faces/liliRetrieving Images and Searching Using Image Descriptors/liliBuilding Custom Object Detector/liliTracking Objects/liliCamera Models and Augmented Reality/lili3D Reconstruction and Navigation/liliNeuraNetworks with OpenCV - an Introduction/liliOpenCV Applications at Scale/li/ol(*_*)9781803234250_

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 code

Key Features

Build powerful computer vision applications in concise code with OpenCV 5 and Python 3
Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking
Train, use, and understand machine learning models, and deploy them in the Cloud

Book Description

Youll start by setting up OpenCV 5 with Python 3 on various platforms. Next, youll 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 youll have opportunities for hands-on activities. Youll tackle two popular challenges: face detection and face recognition. Youll 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, youll develop your skills in augmented reality and real-world 3D navigation. Finally, youll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a persons gender and age, and youll deploy your solutions to the Cloud.

By the end of this book, youll have the skills you need to execute real-world computer vision projects.

What you will learn

Install and familiarize yourself with OpenCV 5s Python 3 bindings
Understand image processing and video analysis
Use a depth camera to distinguish foreground and background regions
Detect and identify objects, and track their motion in videos
Train and use your own models to match images and classify objects
Detect and recognize faces, and classify their gender and age
Build augmented reality applications, and navigate the real 3D world
Train neural networks and deploy them as Cloud-based solutions

Who This Book Is For

This 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.

Setting Up OpenCV
Handling Files, Cameras, and GUIs
Processing Images with OpenCV
Depth Estimation and Segmentation
Detecting and Recognizing Faces
Retrieving Images and Searching Using Image Descriptors
Building Custom Object Detector
Tracking Objects
Camera Models and Augmented Reality
3D Reconstruction and Navigation
NeuraNetworks with OpenCV - an Introduction
OpenCV Applications at Scale

...(*_*)9781803234250_

Key Features

Build powerful computer vision applications in concise code with OpenCV 5 and Python 3
Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking
Train, use, and understand machine learning models, and deploy them in the Cloud

Book Description

Computer 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. Youll be able to put theory into practice by building apps with OpenCV 5 and Python 3. Youll start by setting up OpenCV 5 with Python 3 on various platforms. Next, youll 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 youll have opportunities for hands-on activities. Youll tackle two popular challenges: face detection and face recognition. Youll 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, youll develop your skills in augmented reality and real-world 3D navigation. Finally, youll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a persons gender and age, and youll deploy your solutions to the Cloud. By the end of this book, youll have the skills you need to execute real-world computer vision projects.

What you will learn

Install and familiarize yourself with OpenCV 5 s Python 3 bindings
Understand image processing and video analysis
Use a depth camera to distinguish foreground and background regions
Detect and identify objects, and track their motion in videos
Train and use your own models to match images and classify objects
Detect and recognize faces, and classify their gender and age
Build augmented reality applications, and navigate the real 3D world
Train neural networks and deploy them as Cloud-based solutions

Who this book is for

...

Learning OpenCV 5 Computer Vision with Python

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