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Unleash the power of computer vision with Python using OpenCV
About This Book- 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
Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners, or for anybody who wants to familiarize themselves with the concepts of object classification and detection in simple and understandable terms. Basic knowledge about Python and programming concepts is required, although the book has an easy learning curve both from a theoretical and coding point of view.
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
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.
Style and approachThis book is a comprehensive guide to the brand new OpenCV 3 with Python to develop real-life computer vision applications.
- Sales Rank: #653409 in Books
- Published on: 2015-11-02
- Released on: 2015-09-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .60" w x 7.50" l, 1.02 pounds
- Binding: Paperback
- 246 pages
About the Author
Joe Minichino
Joe Minichino is a computer vision engineer for Hoolux Medical by day and a developer of the NoSQL database LokiJS by night. On weekends, he is a heavy metal singer/songwriter. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experiments with them. At Hoolux, Joe leads the development of an Android computer vision-based advertising platform for the medical industry. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Universita Statale), Joe has spent his last 11 years living in Cork, Ireland, which is where he became a computer science graduate at the Cork Institute of Technology.
Joseph Howse
Joseph Howse lives in Canada. During the winters, he grows his beard, while his four cats grow their thick coats of fur. He loves combing his cats every day and sometimes, his cats also pull his beard. He has been writing for Packt Publishing since 2012. His books include OpenCV for Secret Agents, OpenCV Blueprints, Android Application Programming with OpenCV 3, OpenCV Computer Vision with Python, and Python Game Programming by Example. When he is not writing books or grooming his cats, he provides consulting, training, and software development services through his company, Nummist Media (http://nummist.com).
Most helpful customer reviews
3 of 4 people found the following review helpful.
Great resource if you are a Python user that wants to start learning computer vision concepts and implementation
By G. A. Patino
This book is a great introduction to both computer vision in general, and OpenCV in Python in particular, but even people familiar with computer vision methods will find it useful to learn how to implement them in the Python ecosystem or how to optimize function parameters. An introductory to intermediate command of Python is assumed. The author's present the different concepts within the context of developing an application, and while the book doesn't follow the cookbook format, by the end you will still have a group of very useful scripts that can easily be applied to other projects. The presentation of the programming scripts is detailed and easy to follow. The authors have taken great care to build the complexity of the scripts slowly and without gaps in the sequencing. The use of each script is very well illustrated with images along the book. My only complaint is that the book is still based on Python 2.7, but the code doesn't seem to require many modifications to run in Python 3
3 of 4 people found the following review helpful.
Easy to follow, beginner level book on OpenCV
By Amazon Customer
Learning OpenCV 3 Computer Vision with Python - Second Edition
I have done programming in python and was interested in learning OpenCV. This book did great job in introducing the basic computer Vision programming using python. OpenCV 3 is a computer vision library that is used for a variety of image and video processing operations. Some advance features such as face recognition or object tracking, are easily achievable with OpenCV 3.
Overall, I found the book was easy to follow and it even included code examples from the book.
1 of 3 people found the following review helpful.
I would not recommend this book for beginners who try to learn opencv ...
By Garret Vo
The book attempts to provide an introduction to computer vision with opencv. However, the code is incomplete, and the book is hard to follow. I would not recommend this book for beginners who try to learn opencv with python.
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