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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
Shervin Emami, David Millán Escrivá, Daniel Lelis...
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.
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.
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.
Omar Khedher, Chandan Dutta
In this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV.Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Omar Khedher, Chandan Dutta
In this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV.Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Omar Khedher
OpenStack provides flexibility and control for designing and deploying robust and scalable cloud infrastructures, which has led to it having one of the largest open source communities in the cloud market. This book delves deep into the OpenStack architecture, dissecting each component to guide you in architecting your cloud with precision. From essential components to cutting-edge services, this book offers a step-by step approach, ensuring you grasp the fundamentals before exploring the latest advancements.This updated edition guides you through the deployment process, integrating secure best practices inspired by the DevSecOps philosophy. You’ll also explore the Antelope release, covering new services such as container management and software-defined networking (SDN). The book outlines best practices for running and managing fault-tolerant, secure, monitored, and high-performing setups. In the last part, it navigates the convergence of public and private clouds, covering hybrid models through use cases of managing Kubernetes-based applications in OpenStack private and public clouds.By the end of the book, you’ll be well versed in the latest OpenStack advancements, ready to lead your organization on a successful cloud journey.