Practical Python and OpenCV

by Adrian Rosebrock

Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV.

Genres: Programming, Computer Science, Technology

Kindle Edition

Reviews

[Khanh Cao · Rating 5 out of 5]

very short and brief. Focus on bringing you into practice as soon as possible. Would recommend for anyone who just started out on Computer Vision

[Faezeh Yousefian · Rating 5 out of 5]

This book explains everything step by step with an easy and casual language. It's awsome for beginners. Be sure to follow short links in text to its website.
Thanks Adrian!

[Akash Nidhi P S · Rating 5 out of 5]

Nice book if you are a beginner to opencv and python. The case studies are good at the end of each chapters with practical applications and blogs linked to each chapter provides a way to learn by doing.

[Milos · Rating 4 out of 5]

If you are starting with openCV its a no brainer. The only regrettable thing is that there is no math involved and that algorithms used are described maybe too briefly. Which on the other hand allows you to go through the book really fast.

[Himanshu Saini · Rating 3 out of 5]

The book has a lot of problems. When. It should show you the results of the code it shows you theory or more code and when it needs theory it has those results which made it full of scrolling back and forth to read this book. The language is lucid but some explanation of image terms is needed like gradient. In the beginning it seems more like a EXAMPLES OF OPENCV IN PYTHON rather than a Practical guide. But towards the end it worked well in that area. Overall it's a good read for beginners like me.

[Karthik · Rating 5 out of 5]

Highly recommended book for product managers and programmers getting started in computer vision. This book teaches the traditional techniques as a foundational concept in computer vision. It is important to have a strong footing in these fundamentals before diving deep into advanced data hungry deep learning techniques.

Once you're done with this, be sure to pick a copy of the "Practical Python and OpenCV: Case Studies" book. This has some cool applications that'll let you try some of the techniques.

[Gabby · Rating 4 out of 5]

This book is very friendly to beginners. It explains every line of the code in detail, so it’s very easy to follow. It does not explain the math behind the openCV functions. I would highly recommend the readers take a computer vision class or read another book which explains the background knowledge.

[Rossco · Rating 4 out of 5]

It’s good, not great. I feel quite a bit of the same content is in his PyImageSearch Gurus online course. Since the course is a large commitment, this is a good book to see how interested you are in computer vision. This book has value as an introduction to computer vision.

[Nhân · Rating 4 out of 5]

Đáng đọc, để hiểu về những thứ căn bản của OpenCV như xoay, dịch chuyển ảnh, các khái niệm đơn giản, cũng như hiểu thêm về các thuật toán blur. Điểm yếu là cuốn sách không đi sâu về toán, thiên nhiều về lập trình nên đọc xong có thể làm được chút nhưng vẫn khá mông lung

[Dmitry Zudochkin · Rating 5 out of 5]

I enjoyed reading this book. It covers essential things you should know, when start diving into OpenCV technology.

[D · Rating 4 out of 5]

Simple introduction to computer vision.

[Karan Singh]

best

[Marco Rizk · Rating 2 out of 5]

I like Adrian’s work and pyimage search is awesome. But this books seems like a compilation of blog posts. It’s for very early beginners. If you have spent sometime with opencv like I did. This book will be completely useless to you.

[Tuula · Rating 3 out of 5]

With 146 pages, goes through the basic image manipulation functionalities (resize, blurring, histograms etc.), but book ends just when it gets to good stuff, e.g. edge dectection & contours.

[Syed Nouman Hasany · Rating 4 out of 5]

This is a very well written book, but I think it would serve better as an image processing book rather than being a computer vision book. The code is very heavily documented, and is presented such that the reader never feels intimidated. The book goes through chunks of image processing - rather important chunks - including affine transforms, color spaces, histograms, filters, thresholding, edge detection, and contours. The writing style is particularly suitable for someone who is just entering this field, and is only a novice programmer. Another nice part about this book is that its author runs a computer vision blog, and this book will likely help you in understanding his coding philosophy. Lastly, it needs to be mentioned that if you already know bits of image processing - let's say you know what filtering is, or you know that Otsu is a thresholding method - then this book is not for you, and what you need is the opencv documentation; which is extremely readable.