Видавець: 16
Roy Shilkrot, David Millán Escrivá
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.
Alberto Fernández Villán
OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language.In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras.By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.
Mora Saragih, Eugene Khvedchenia, Daniel L?É?íÂ!(C)lis Baggio,...
Computer Vision is fast becoming an important technology and is used in Mars robots, national security systems, automated factories, driver-less cars, and medical image analysis to new forms of human-computer interaction. OpenCV is the most common library for computer vision, providing hundreds of complex and fast algorithms. But it has a steep learning curve and limited in-depth tutorials.Mastering OpenCV with Practical Computer Vision Projects is the perfect book for developers with just basic OpenCV skills who want to try practical computer vision projects, as well as the seasoned OpenCV experts who want to add more Computer Vision topics to their skill set or gain more experience with OpenCV's new C++ interface before migrating from the C API to the C++ API.Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you're most interested in.Create working prototypes from this book including real-time mobile apps, Augmented Reality, 3D shape from video, or track faces & eyes, fluid wall using Kinect, number plate recognition and so on.Mastering OpenCV with Practical Computer Vision Projects gives you rapid training in nine computer vision areas with useful projects.
Denis Perevalov
openFrameworks is a powerful programming toolkit and library designed to assist the creative process through simplicity and intuitiveness. It's a very handy software library written in C++ to reduce the software development process, helping you to kick-start creative coding. With the help of C++ and shaders support, openFrameworks allows for the processing of all kinds of media information with your custom-developed algorithms at the lowest possible level, with the fastest speed.Mastering openFrameworks: Creative Coding Demystified will introduce you to a world of creative coding projects, including interactive installations, audio-visual, and sound art projects. You will learn how to make your own projects using openFrameworks. This book focuses on low-level data processing, which allows you to create really unique and cutting-edge installations and projects.Mastering openFrameworks: Creative Coding Demystified provides a complete introduction to openFrameworks, including installation, core capabilities, and addons. Advanced topics like shaders, computer vision, and depth cameras are also covered.We start off by discussing the basic topics such as image and video loading, rendering and processing, playing sound samples, and synthesizing new sounds. We then move on to cover 3D graphics, computer vision, and depth cameras. You will also learn a number of advanced topics such as video mapping, interactive floors and walls, video morphing, networking, and using geometry shaders.You will learn everything you need to know in order to create your own projects; create projects of all levels, ranging from simple creative-code experiments, to big interactive systems consisting of a number of computers, depth cameras, and projectors.
Gábor Farkas
OpenLayers 3 allows you to create stunning web mapping and WebGIS applications. It uses modern, cutting edge browser technologies. It is written with Closure Library, enabling you to build browser-independent applications without painful debugging ceremonies, which even have some limited fallback options for older browsers.With this guide, you will be introduced to the world of advanced web mapping and WebGIS.First, you will be introduced to the advanced features and functionalities available in OpenLayers 3. Next, you will be taken through the key points of creating custom applications with OpenLayers 3. You will then learn how to create the web mapping application of yours (or your company's) dream with this open source, expense-free, yet very powerful library. We’ll also show you how to make amazing looking thematic maps and create great effects with canvas manipulation.By the end of this book, you will have a strong command of web mapping and will be well on your way to creating amazing applications using OpenLayers 3.
Matt Butcher
This book is the ideal introduction to using OpenLDAP for Application Developers and will also benefit System Administrators running OpenLDAP. It prepares the reader to build a directory using OpenLDAP, and then employ this directory in the context of the network, taking a practical approach that emphasizes how to get things done. On occasion, it delves into theoretical aspects of LDAP, but only where understanding the theory helps to answer practical questions. The reader requires no knowledge of OpenLDAP, but even readers already familiar with the technology will find new things and techniques. This book is organized into three major sections: the first section covers the basics of LDAP directory services and the OpenLDAP server; the second focuses on building directory services with OpenLDAP; in the third section of the book, we look at how OpenLDAP is integrated with other applications and services on the network. This book not only demystifies OpenLDAP, but gives System Administrators and Application Developers a solid understanding of how to make use of OpenLDAP's directory services.The OpenLDAP directory server is a mature product that has been around (in one form or another) since 1995. It is an open-source server that provides network clients with directory services. All major Linux distributions include the OpenLDAP server, and many major applications, both open-source and proprietary, are directory aware and can make use of the services provided by OpenLDAP.The OpenLDAP directory server can be used to store organizational information in a centralized location, and make this information available to authorized applications. Client applications connect to OpenLDAP using the Lightweight Directory Access Protocol (LDAP) and can then search the directory and (if they have appropriate access) modify and manipulate records. LDAP servers are most frequently used to provide network-based authentication services for users; but there are many other uses for an LDAP server, including using the directory as an address book, a DNS database, an organizational tool, or even as a network object store for applications.
