Learning OpenCV 3 Computer Vision with Python - Second Edition
Unleash the power of computer vision with Python using OpenCV
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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
Joe Minichino
Joe Minichino is a Senior Cloud Architect at fourTheorem. Joe specializes in AWS architecture, ML/AI, and Data Analytics. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Università Statale in Milan), Joe has lived in Cork, Ireland, since 2004. There, he graduated in computer science at the Cork Institute of Technology.
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Joseph Howse
Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media, a publishing and consulting company with specialties including computer vision and medical imaging. Since 2015, he has written a large part of Packt's library of technical books on OpenCV. Joseph is also the author of an award-winning novel series, Next Year's Snow, which follows a Soviet/Ukrainian family through several generations to the present day.
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