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Learning OpenCV 3 Computer Vision with Python - Second Edition
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Unleash the power of computer vision with Python using OpenCV
Paperback
Print on Demand | Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
Artikel-Nr:
9781785283840
Veröffentl:
2015
Einband:
Paperback
Erscheinungsdatum:
30.09.2015
Seiten:
266
Autor:
Joe Minichino
Gewicht:
503 g
Format:
235x191x15 mm
Sprache:
Englisch
Beschreibung:
Joe Minichino is an R&D labs engineer at Teamwork. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experimenting with them. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has lived in Cork, Ireland, since 2004. There, he became a computer science graduate at the Cork Institute of Technology.
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
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