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Practical Python and OpenCV
by
Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV.
Kindle Edition
Published
by PyImageSearch
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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! ...more
Thanks Adrian! ...more

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
...more

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 techni ...more
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 techni ...more

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.

Jun 11, 2019
Karan Singh
marked it as to-read
best

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.

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 t
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