OpenCV 4 Computer Vision Application Programming Cookbook. Build complex computer vision applications with OpenCV and C++ - Fourth Edition

David Millán Escrivá, Robert Laganiere

OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work with recipes to implement a variety of tasks. 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 guiding you through setting up OpenCV, and explaining 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 this book, you'll have the skills you need to confidently implement a range of computer vision algorithms to meet the technical requirements of your complex CV projects.

JBoss EAP6 High Availability. From the basic uses of JBoss EAP6 through to advanced clustering techniques, this book is the perfect way to learn how to achieve a system designed for high availability. All that's required is some basic knowledge of Linux/Unix

Weinan Li

High availability is a system design approach and associated service implementation which ensures that a prearranged level of operational performance will be met during a contractual measurement period. High availability is usually a system combined with many different components that achieve different goals. High availability cluster implementations attempt to build redundancy into a cluster to eliminate single points of failure.JBoss EAP6 High Availability is the perfect guide for learning how to apply the newest technologies provided by JBoss to build your high availability system. With a clear explanation of the design of JBoss EAP6 and its clustering components, this book will help you customize each component to fulfill your specific requirements.Throughout the course of this book, you will learn how to build high availability clusters using the projects provided by JBoss. The book begins with an introduction to the design of JBoss EAP6 and its uses. The next step will be to explore the two companion open source projects - mod_jk and mod_cluster. In this section, you will get to grips with the concept of load balancing with mod_jk and mod_cluster. You will also learn how to enable SSL in the clustering environment and how to configure session replication between EAP6 servers. Furthermore, the appendix section introduces you to some troubleshooting techniques for Wildfly.

Kali Linux Wireless Penetration Testing: Beginner's Guide. Master wireless testing techniques to survey and attack wireless networks with Kali Linux

Vivek Ramachandran, Cameron Buchanan

Amazon SageMaker Best Practices. Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker

Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode

Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.

Create React App 2 Quick Start Guide. Build React applications faster with Create React App

Brandon Richey

If you're a power user and you aren’t happy always reusing default configurations, from previous applications with each new application, then all you need is Create React App (CRA), a tool in the React ecosystem designed to help you create boilerplate code for building a web frontend.This book will help you use CRA to write React programs without significant configuration-related difficulties. With this quick start guide, you will integrate your applications with React to build efficient professional web services.You will learn to design UIs with the features of CRA and template your React applications.By the end of the book, you will be sufficiently skilled to be able to build faster and effective React apps using CRA.

Conducting a Telephone Interview. Master the art of conducting a telephone interview to make the most effective hiring decisions

Vaibhav Gupta

R Bioinformatics Cookbook. Utilize R packages for bioinformatics, genomics, data science, and machine learning - Second Edition

Dan MacLean

The updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You’ll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools.This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses.By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.

Redmine Plugin Extension and Development. If you’d like to customize Redmine to meet your own precise project management needs, this is the ideal guide to understanding and realizing the full potential of plugins. Full of real-world examples and clear instructions

Alex Bevilacqua