Moodle 3.x Developer's Guide : Build custom plugins, extensions, modules and more

Ian Wild

ISBN 10: 1786467119 / ISBN 13: 9781786467119

Published by Packt Publishing, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Unleash the power of computer vision with Python using OpenCV Key Features Create impressive applications with OpenCV and Python Familiarize yourself with advanced machine learning concepts Harness the power of computer vision with this easy-to-follow guide Book Description OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance. Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application. What you will learn Install and familiarize yourself with OpenCV 3's Python API Grasp the basics of image processing and video analysis Identify and recognize objects in images and videos Detect and recognize faces using OpenCV Train and use your own object classifiers Learn about machine learning concepts in a computer vision context Work with artificial neural networks using OpenCV Develop your own computer vision real-life application.

Seller Inventory # 9781786467119

Bibliographic Details

• Title: Moodle 3.x Developer's Guide : Build custom plugins, extensions, modules and more
• Publisher: Packt Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 1786467119
• ISBN 13: 9781786467119
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 20D millimeters 235 millimeters width by 191 millimeters height by 20 millimeters depth
• Weight: 633 grams

About this title

Synopsis

Unleash the power of computer vision with Python using OpenCV

Key Features

• Create impressive applications with OpenCV and Python
• Familiarize yourself with advanced machine learning concepts
• Harness the power of computer vision with this easy-to-follow guide

Book Description

OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance.

Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.

What you will learn

• Install and familiarize yourself with OpenCV 3's Python API
• Grasp the basics of image processing and video analysis
• Identify and recognize objects in images and videos
• Detect and recognize faces using OpenCV
• Train and use your own object classifiers
• Learn about machine learning concepts in a computer vision context
• Work with artificial neural networks using OpenCV
• Develop your own computer vision real-life application

About the Author

Ian Wild is an experienced software developer, solutions architect, author, and educator with over 20 years' experience in the field of software design and implementation. Fifteen years working in private industry saw Ian specializing in the design and development of access and learning aids for blind, visually impaired, dyslexic, and dyscalculic computer users, while also working part-time as a tutor and lecturer. Teaching only part-time meant not spending as much time with his students as he would have wished and this, coupled with his background in the development of communication technologies, seeded his long-time interest in e-learning.

Ian is also, author of Moodle Course Conversion: Beginner's Guide and Moodle Math. He was also technical reviewer of Science Teaching with Moodle, Moodle Multimedia and Practical XMPP.