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Perspectives on Language and Language Development brings together new perspectives on language, discourse and language development in 31 chapters by leading scholars from several countries with diverging backgrounds and disciplines. It is a comprehensive overview of language as a rich, multifaceted system, inspired by the lifework of Ruth A. Berman. Edited by Dorit Ravid and Hava Bat-Zeev Shyldkrot, both from Tel Aviv University, Israel, the book offers state-of-the-art portrayals of linguistic and psycholinguistic phenomena with new insights on the interrelations of language structure, discourse theory, and the development of language and literacy. The volume presents innovative investigations on the interface of language and narrative in a broad range of languages, with a section devoted to linguistic studies of Modern Hebrew. It traces the development of language and literacy from early childhood through adolescence to maturity in spoken and written contexts, and in monolingual as well as multilingual perspectives.
Linguists, psycholinguists, discourse scholars, cognitive psychologists, language teachers, education experts, and clinicians working in the field of language and discourse will find this book extremely useful both as a textbook and as a source of information.
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Practical Computer Vision Projects
About This Book
Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applicationsProject-based approach with each chapter being a complete tutorial, showing you how to apply OpenCV to solve complete problemsWho This Book Is For
This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.
What You Will Learn
Execute basic image processing operations and cartoonify an imageBuild an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.textExtend the natural feature tracking algorithm to support the tracking of multiple image targets on a videoUse OpenCV 3''s new 3D visualization framework to illustrate the 3D scene geometryCreate an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural NetworksTrain and predict pattern-recognition algorithms to decide whether an image is a number plateUse POSIT for the six degrees of freedom head poseTrain a face recognition database using deep learning and recognize faces from that databaseIn Detail
As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.
This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You''ll learn how to make AI that can remember and use neural networks to help your applications learn.
By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
Style and approach
This book takes a project-based approach and helps you learn about the new features by putting them to work by implementing them in your own projects.
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Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms
Key Features
Learn about the new features that help unlock the full potential of OpenCV 4Build face detection applications with a cascade classifier using face landmarksCreate an optical character recognition (OCR) model using deep learning and convolutional neural networksBook Description
Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.
You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects.
By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
What you will learn
Build real-world computer vision problems with working OpenCV code samplesUncover best practices in engineering and maintaining OpenCV projectsExplore algorithmic design approaches for complex computer vision tasksWork with OpenCV’s most updated API (v4.0.0) through projectsUnderstand 3D scene reconstruction and Structure from Motion (SfM)Study camera calibration and overlay AR using the ArUco ModuleWho this book is for
This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.
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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 projectsExplore important deep learning tools for image classificationUnderstand basic image matrix formats and filtersBook 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 Millán EscriváLearn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek JoshiWhat you will learn
Stay up-to-date with algorithmic design approaches for complex computer vision tasksWork with OpenCV''s most up-to-date API through various projectsUnderstand 3D scene reconstruction and Structure from Motion (SfM)Study camera calibration and overlay augmented reality (AR) using the ArUco moduleCreate CMake scripts to compile your C++ applicationExplore segmentation and feature extraction techniquesRemove backgrounds from static scenes to identify moving objects for surveillanceWork with new OpenCV functions to detect and recognize text with TesseractWho 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.
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Alexandrovitj Garizimoff föddes i Ryssland 1782. Fadern och de tre sönerna är alla guldsmeder som driver verkstad och butik i Sankt Petersburg. Adliga med god kontakt med tsaren. Garizimoff blir inkallad till armén onsdagen den 5 mars år 1800. Logementen blev en chock. I varje logement lever 50 rekryter, trångbott, i mörker, smuts, en olidlig doft av svett och urin, dålig mat, loppor och löss.
Faderns kontakt med tsaren resulterar i att han efter 6 veckor blir Major och Ansvarig för alla regementens upprustning i hela Ryssland. Soldaternas liv blir totalt förändrade, nu är de rena, välmående, välklädda och utan loppor och löss. Han gör häpnadsväckande uppdateringar, nya metoder, nya vapen, uniformer, ja det mesta blir uppdaterat. Efter 8 år avancerade han till överbefälhavare. Nu lever soldater lika gott som officerare.
Ryssland invaderade Finland 1808, som då är svenskt. Garizimoff kommer i onåd hos tsaren och flyr tillsammans med general Ivan Morozov och överste Nikita Telatoff under invasionen. De utgår ifrån skärgården utanför Vasa med en flotte gjord av kantiner som tar dem ut i Bottenhavet De hinner inte lång innan de beskjuts och en av dem dödas.
Fortsättning följer i Del 2 av 3.
Författaren, som är en ättling till ryssen Garizimoff, i Sverige, berättar historien utifrån släkttavlan, fakta, fantasi, humor, psykologi, feminism och klurigheter. Detta är den första av tre delar.
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Junsele – En berättelse om flykt, överlevnad och samhällsbygge
År 1808 tvingas överbefälhavare Alexandrovitj Garizimoff och hans följeslagare Ivan Morozov och Nikita Telatoff på en dramatisk flykt från Vasa i Finland till Sverige, undan det pågående kriget mellan Ryssland och Sverige. Efter att ha blivit tillfångatagna i Umeå och tillbringat ett år i rysk fångenskap, lyckas de ta sig vidare till Junsele i Ångermanland.
Där börjar de ett nytt liv – Garizimoff får arbete i handelsboden, Telatoff på en bondgård, och så småningom gifter sig Garizimoff med Christina, en kvinna som förlorat sin familj i hungersnöden. Genom årtiondena bidrar de till att forma Junsele genom reformer, företagande och samhällsbygge, vilket skapar ett starkt socialt skyddsnät för invånarna.
Men historien upprepar sig – när nästa generation tar vid, förändras deras plats i samhället, och gamla hierarkier utmanas. Junsele är en gripande historisk roman om flykt, identitet och viljan att bygga en bättre framtid.
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Garizimoff och den Svenska FörvandlingenUnder 1800-talet förvandlar Garizimoff Junsele till en blomstrande ort utan brist på arbete, bostäder eller mat. Folkvettsuniversitetet öppnar, och hans resa genom södra Sverige sprider ett framgångsrecept som ger människor ett bättre och meningsfullare liv.
Alla blir myndiga vid 21 års ålder, och hinder för vanliga människors deltagande i styrande organ tas bort – även kvinnor får nu styra landet. En kusk från Kramfors blir The Big President i Stockholm och Nikita revolutionerar livet för fångar och fångvaktare i Stockholmsområdet.
Kyrkoherden som begått övergrepp kastreras och döps om till Valack, medan en ny kyrkoherde som senare blir ärkebiskop i Uppsala tar hans plats. Klagomuren byggs i Junsele, och helgdagar som Nationaldagen, Kanelbullens dag och Alla Helgons dag instiftas.
När Garizimoffs utrustningsgrupp från Sankt Petersburg försvinner spårlöst, sjunker han i djup depression och sover i en låda under golvet. Junsele Security bildas med beväpnade vakter, och en psykiater råder honom att skicka en paketbomb till tsaren.
Vid sin död lämnar Garizimoff efter sig ett Sverige i positiv utveckling. Över 100 000 pilgrimer besöker hans grav i Junsele, vilket driver byn att erbjuda mat och boende. Hans civila försvar utvidgas och förhindrar att Sverige dras in i världskrigen.
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