Computer vision applications are interesting and useful, but the underlying algorithms are computationally intensive. With the advent of cloud computing, we are getting more processing power to work with.

The OpenCV library enables us to run computer vision algorithms efficiently in real time. It has been around for many years, and has become the standard library in this field. One of the main advantages of OpenCV is that it is highly optimized, and available on almost all platforms.

This book will cover the various algorithms we will be using, why we are using them, and how to implement them in OpenCV.

In this chapter, we are going to learn how to install OpenCV on various operating systems. We will discuss what OpenCV offers out of the box, and the various things that we can do using the inbuilt functions.

By the end of this chapter, you will be able to answer the following questions:

How do humans process visual data, and how do they understand image content?
What can we do with OpenCV, and what are the various modules available in OpenCV that can be used to achieve those things?
How do we install OpenCV on Windows, Linux, and Mac OS X?

Kohei Yoshida Apr 24, 2019

I'm almost finishing up this book, and I think I have seen enough to give it a review. I'm new to OpenCV but I'm pretty experienced with CMake, and I built OpenCV directly from its source from its github repo in order to follow this book. So, I can't comment on the quality and accuracy of the installation guide in this book since I skipped that part.The rest of the book's content is quite decent, and gave me a very good overview of what sort of functionality is provided by OpenCV. I've noticed some minor errors in the example codes, but nothing that some debugging can't resolve.I also recommend you follow this book on Linux if you have that option. You need access to a webcam since many of the examples do make use of video feeds from camera.I'm also planning on buying a copy of Mastering OpenCV 4 after I finish this book, to further deepen my knowledge of OpenCV.

Amazon Verified review

Bad Review Apr 01, 2019

Installation guide is not useful. Either it is not updated or incomplete. Some libraries on the dependencies are no longer there.

Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++ , Second Edition

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