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Auteur David MILLAN ESCRIVA |
Documents disponibles écrits par cet auteur (3)
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Building Computer Vision Projects with OpenCV 4 and C++ / David MILLAN ESCRIVA / PACKT PUBLISHING (2019)
Titre : Building Computer Vision Projects with OpenCV 4 and C++ Type de document : e-book Auteurs : David MILLAN ESCRIVA Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781838644673 Note générale : copyrighted Langues : Anglais (eng) Résumé : Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image classification Understand basic image matrix formats and filters Book Description OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millan Escriva Learn OpenCV 4 By Building Projects - Second Edition by David Millan Escriva, Vinicius G. Mendonca, and Prateek Joshi What you will learn Stay up-to-date with algorithmic design approaches for complex computer vision tasks Work with OpenCV's most up-to-date API through various projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay augmented reality (AR) using the ArUco module Create CMake scripts to compile your C++ application Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better understand the concepts in this Learning Path. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88867549 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=484856 OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition / David MILLAN ESCRIVA / PACKT PUBLISHING (2019)
Titre : OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition Type de document : e-book Auteurs : David MILLAN ESCRIVA Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781789340723 Note générale : copyrighted Langues : Anglais (eng) Résumé : Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection Key Features Explore the latest features and APIs in OpenCV 4 and build computer vision algorithms Develop effective, robust, and fail-safe vision for your applications Build computer vision algorithms with machine learning capabilities Book Description OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work through recipes that implement a variety of tasks, such as facial recognition and detection. With 70 self-contained tutorials, this book examines common pain points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs. This book begins by setting up OpenCV, and explains how to manipulate pixels. You'll understand how you can process images with classes and count pixels with histograms. You'll also learn detecting, describing, and matching interest points. As you advance through the chapters, you'll get to grips with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you'll cover deep learning concepts such as face and object detection. By the end of the book, you'll be able to confidently implement a range to computer vision algorithms to meet the technical requirements of your complex CV projects What you will learn Install and create a program using the OpenCV library Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit image geometry to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques Reconstruct a 3D scene from images Explore face detection using deep learning Who this book is for If you're a CV developer or professional who already uses or would like to use OpenCV for building computer vision software, this book is for you. You'll also find this book useful if you're a C++ programmer looking to extend your computer vision skillset by learning OpenCV. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88871033 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=486570 Learn OpenCV 4 by Building Projects - Second Edition / David MILLAN ESCRIVA / PACKT PUBLISHING (2018)
Titre : Learn OpenCV 4 by Building Projects - Second Edition Type de document : e-book Auteurs : David MILLAN ESCRIVA Editeur : PACKT PUBLISHING Année de publication : 2018 ISBN/ISSN/EAN : 9781789341225 Note générale : copyrighted Langues : Anglais (eng) Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88865429 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=484082
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