Learning OpenCV 3 Computer Vision with Python (Update): Unleash the power of computer vision with Python using OpenCV

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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.

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Learning OpenCV 3 Computer Vision with Python (Update)

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Amazon verified reviews

G. A. Patino Nov 06, 2015

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

Amazon Verified review

Amazon Customer Nov 13, 2015

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.

Garret Vo Jan 19, 2016

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.

Amazon Customer Feb 03, 2017

Really poor. No one revised the book. Instructions and links don't work. And there is no orientation regarding what to do when things go wrong. I'm be better just googling everything or using free OpenCV docs. Waste of money. Not sure if Amazon accepts returns.

marco Nov 16, 2015

I didn`t like the book. The source code is incomplete. There are some mistakes in the code. I gave up the book and gave up Python too.

Learning OpenCV 3 Computer Vision with Python (Update): Unleash the power of computer vision with Python using OpenCV

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