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Raspberry Pi Computer Vision Programming: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition
Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed.
306 pages, Paperback
Published June 29, 2020
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March 26, 2022
I am really wondering who this book was written for.
On its first pages, it tries to explain how to connect your system to the RPi. Considering the tons of different scenarios, i.e., which OS you are using and which cables you have at your hands, this in itself fills over 20 pages. But most notably, the author does not mention the ability to connect to the RPi without having it connected to a display once, which was the case for me (no cables and screen available). So a quick Google search helped me immediately; I should have spared myself these pages in the book in hindsight.
This feeling of "I could have found that out more efficiently through another medium" spread through the book. Reasons are:
-The author rarely explains algorithms and their underlying concepts, but just commands you to "use function X from library Y". Besides, the "programming" shown is superficial in itself.
-In my paperback version, the images are not in color - what a no-go when trying to explain RGB computer vision algorithms!
-The text is super repetitive and redundant, there are mistakes in code and language. Usually, when I prefer book over video, language is the key. This book doesn't prevail.
In conclusion, you will not learn a lot from this book. Most of it could be covered in a 90-minutes computer science lecture. So, I advice you to better go ahead and look for a nice lecture; even a good youtube video will totally suffice to replace this book!
And by the way, to answer my opening question, I just noticed that the Preface does give one:
On its first pages, it tries to explain how to connect your system to the RPi. Considering the tons of different scenarios, i.e., which OS you are using and which cables you have at your hands, this in itself fills over 20 pages. But most notably, the author does not mention the ability to connect to the RPi without having it connected to a display once, which was the case for me (no cables and screen available). So a quick Google search helped me immediately; I should have spared myself these pages in the book in hindsight.
This feeling of "I could have found that out more efficiently through another medium" spread through the book. Reasons are:
-The author rarely explains algorithms and their underlying concepts, but just commands you to "use function X from library Y". Besides, the "programming" shown is superficial in itself.
-In my paperback version, the images are not in color - what a no-go when trying to explain RGB computer vision algorithms!
-The text is super repetitive and redundant, there are mistakes in code and language. Usually, when I prefer book over video, language is the key. This book doesn't prevail.
In conclusion, you will not learn a lot from this book. Most of it could be covered in a 90-minutes computer science lecture. So, I advice you to better go ahead and look for a nice lecture; even a good youtube video will totally suffice to replace this book!
And by the way, to answer my opening question, I just noticed that the Preface does give one:
"This book is for Python 3 developers, computer vision professionals, and Raspberry Pi enthusiasts [...]" - Hell no, I couldn't agree less!
Displaying 1 of 1 review