Електронні книги
30369
Eлектронна книга

OpenCV 4 for Secret Agents. Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers - Second Edition

Joseph Howse

OpenCV 4 is a collection of image processing functions and computer vision algorithms. It is open source, supports many programming languages and platforms, and is fast enough for many real-time applications. With this handy library, you’ll be able to build a variety of impressive gadgets.OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks. To enable you to build apps for diverse desktop systems and Raspberry Pi, the book supports multiple Python versions, from 2.7 to 3.7. For Android app development, the book also supports Java in Android Studio, and C# in the Unity game engine. Taking inspiration from the world of James Bond, this book will add a touch of adventure and computer vision to your daily routine. You’ll be able to protect your home and car with intelligent camera systems that analyze obstacles, people, and even cats. In addition to this, you’ll also learn how to train a search engine to praise or criticize the images that it finds, and build a mobile app that speaks to you and responds to your body language.By the end of this book, you will be equipped with the knowledge you need to advance your skills as an app developer and a computer vision specialist.

30370
Eлектронна книга

OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition

Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks.You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks.By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.

30371
Eлектронна книга

OpenCV Android Programming By Example. Leverage OpenCV to develop vision-aware and intelligent Android applications

Amgad Muhammad, Erik Hellman, Erik A Westenius, Amgad M Ahmed Muhammad

Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to gain performance boosts. Next we will discuss and use several image processing algorithms such as histogram equalization, filters, and color space conversion. You then will learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hough Line Transform, and Hough Circle Transform. In addition to using shape analysis to find things in images, you will learn how to describe objects in images in a more robust way using different feature detectors and descriptors. By the end of this book, you will be able to make intelligent decisions using the famous Adaboost learning algorithm.

30372
Eлектронна книга

OpenCV By Example. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.

30373
Eлектронна книга
30374
Eлектронна книга

OpenCV: Computer Vision Projects with Python. Develop computer vision applications with OpenCV

Michael Beyeler, Prateek Joshi, Joseph Howse

OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time.This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3’s Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we’ll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:• OpenCV Computer Vision with Python by Joseph Howse • OpenCV with Python By Example by Prateek Joshi• OpenCV with Python Blueprints by Michael Beyeler

30375
Eлектронна книга
30376
Eлектронна книга
30377
Eлектронна книга
30378
Eлектронна книга
30379
Eлектронна книга

OpenDaylight Cookbook. Deploy and operate software-defined networking in your organization

Alexis de Talhouët, Mathieu Lemay, Mohamed Elserngawy, Jamie Goodyear, ...

OpenDaylight is an open source platform to program and build Software-Defined Networks (SDN). Its aim is to accelerate the adoption of SDN and NFV. With above 90 practical recipes, this book will help you to solve day-to-day problems and maintenance tasks surrounding OpenDaylight’s implementation.This book starts with the OpenDaylight fundamentals. In this book, you will gain a sound understanding of the methods and techniques when deploying OpenDaylight in production environment. Later on, you will learn to create a Service Chain using SFC. This book will address common problems and day-to-day maintenance tasks with OpenDaylight. We’ll also will teach you how to interact with OpenDaylight APIs and use the necessary tools to simulate networks. You will also explore how to create your own branded OpenDaylight along with authorising and authenticating users using OpenDaylight Identity Manager.By the end of this book, you will have the necessary skills to operate an OpenDaylight SDN environment.

30380
Eлектронна книга
30381
Eлектронна книга
30382
Eлектронна книга

OpenGL - Build high performance graphics. Assimilate the ideas shared in the course to utilize the power of OpenGL to perform a wide variety of tasks

William Lo, Muhammad Mobeen Movania, Raymond Chun Hing Lo

OpenGL is a fully functional, cross-platform API widely adopted across the industry for 2D and 3D graphics development. It is mainly used for game development and applications, but is equally popular in a vast variety of additional sectors. This practical course will help you gain proficiency with OpenGL and build compelling graphics for your games and applications. OpenGL Development Cookbook – This is your go-to guide to learn graphical programming techniques and implement 3D animations with OpenGL. This straight-talking Cookbook is perfect for intermediate C++ programmers who want to exploit the full potential of OpenGL. Full of practical techniques for implementing amazing computer graphics and visualizations using OpenGL. OpenGL 4.0 Shading Language Cookbook, Second Edition – With Version 4, the language has been further refined to provide programmers with greater power and flexibility, with new stages such as tessellation and compute. OpenGL Shading Language 4 Cookbook is a practical guide that takes you from the fundamentals of programming with modern GLSL and OpenGL, through to advanced techniques.OpenGL Data Visualization Cookbook - This easy-to-follow, comprehensive Cookbook shows readers how to create a variety of real-time, interactive data visualization tools. Each topic is explained in a step-by-step format. A range of hot topics is included, including stereoscopic 3D rendering and data visualization on mobile/wearable platforms. By the end of this guide, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products, OpenGL Development Cookbook by Muhammad Mobeen Movania, OpenGL 4.0 Shading Language Cookbook, Second Edition by David Wolff, OpenGL Data Visualization Cookbook by Raymond C. H. Lo, William C. Y. Lo

30383
Eлектронна книга

OpenGL 4 Shading Language Cookbook. Acquiring the skills of OpenGL Shading Language is so much easier with this cookbook. You'll be creating graphics rather than learning theory, gaining a high level of capability in modern 3D programming along the way. - Second Edition

David Wolff

OpenGL Shading Language (GLSL) is a programming language used for customizing parts of the OpenGL graphics pipeline that were formerly fixed-function, and are executed directly on the GPU. It provides programmers with unprecedented flexibility for implementing effects and optimizations utilizing the power of modern GPUs. With Version 4, the language has been further refined to provide programmers with greater power and flexibility, with new stages such as tessellation and compute.OpenGL 4 Shading Language Cookbook provides easy-to-follow examples that first walk you through the theory and background behind each technique, and then go on to provide and explain the GLSL and OpenGL code needed to implement it. Beginner level through to advanced techniques are presented including topics such as texturing, screen-space techniques, lighting, shading, tessellation shaders, geometry shaders, compute shaders, and shadows.OpenGL Shading Language 4 Cookbook is a practical guide that takes you from the fundamentals of programming with modern GLSL and OpenGL, through to advanced techniques. The recipes build upon each other and take you quickly from novice to advanced level code.You'll see essential lighting and shading techniques; examples that demonstrate how to make use of textures for a wide variety of effects and as part of other techniques; examples of screen-space techniques including HDR rendering, bloom, and blur; shadowing techniques; tessellation, geometry, and compute shaders; how to use noise effectively; and animation with particle systems.OpenGL Shading Language 4 Cookbook provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer graphics applications.

30384
Eлектронна книга

OpenGL 4 Shading Language Cookbook. Build high-quality, real-time 3D graphics with OpenGL 4.6, GLSL 4.6 and C++17 - Third Edition

David Wolff

OpenGL 4 Shading Language Cookbook, Third Edition provides easy-to-follow recipes that first walk you through the theory and background behind each technique, and then proceed to showcase and explain the GLSL and OpenGL code needed to implement them.The book begins by familiarizing you with beginner-level topics such as compiling and linking shader programs, saving and loading shader binaries (including SPIR-V), and using an OpenGL function loader library. We then proceed to cover basic lighting and shading effects. After that, you'll learn to use textures, produce shadows, and use geometry and tessellation shaders. Topics such as particle systems, screen-space ambient occlusion, deferred rendering, depth-based tessellation, and physically based rendering will help you tackle advanced topics.OpenGL 4 Shading Language Cookbook, Third Edition also covers advanced topics such as shadow techniques (including the two of the most common techniques: shadow maps and shadow volumes). You will learn how to use noise in shaders and how to use compute shaders.The book provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer-graphics applications.