Goodreads helps you keep track of books you want to read.
Start by marking “Practical Python and OpenCV” as Want to Read:
Practical Python and OpenCV
Enlarge cover
Rate this book
Clear rating
Open Preview

Practical Python and OpenCV

4.14  ·  Rating details ·  84 ratings  ·  15 reviews
Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV.
Kindle Edition
Published by PyImageSearch
More Details... Edit Details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Practical Python and OpenCV, please sign up.

Be the first to ask a question about Practical Python and OpenCV

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

Showing 1-30
Average rating 4.14  · 
Rating details
 ·  84 ratings  ·  15 reviews

More filters
Sort order
Start your review of Practical Python and OpenCV
Khanh Cao
Mar 06, 2021 rated it it was amazing
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
Akash Nidhi P S
May 29, 2019 rated it it was amazing
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.
Faezeh Yousefian
Jul 11, 2018 rated it it was amazing
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!
Apr 07, 2019 rated it really liked it
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
Oct 27, 2018 rated it liked it
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
Sep 23, 2020 rated it it was amazing
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
Mar 11, 2020 rated it really liked it
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.
Nhân Lê
Aug 02, 2020 rated it really liked it
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
Jul 22, 2018 rated it really liked it
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.
Karan Singh
Jun 11, 2019 marked it as to-read
Jun 06, 2019 rated it really liked it
Simple introduction to computer vision.
Dmitry Zudochkin
Dec 21, 2018 rated it it was amazing
I enjoyed reading this book. It covers essential things you should know, when start diving into OpenCV technology.
Marco Rizk
Mar 04, 2020 rated it it was ok
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.
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.
Karem Ben Chikha
rated it it was amazing
Jan 10, 2020
Tai Le
rated it really liked it
Apr 21, 2020
Thien Le
rated it it was amazing
Jan 11, 2016
rated it it was amazing
Jun 15, 2019
Swati Jaiswal
rated it really liked it
May 11, 2019
rated it really liked it
Feb 12, 2020
rated it really liked it
Oct 16, 2019
rated it it was amazing
Feb 09, 2017
Moumen Yasser
rated it it was amazing
Apr 03, 2018
Suman Roy
rated it it was amazing
Sep 28, 2019
rated it it was amazing
Jul 30, 2019
Alexey Ukolov
rated it it was amazing
Aug 02, 2015
Tincy Thomas
rated it really liked it
Jan 21, 2016
Syed Nouman Hasany
Dec 15, 2018 rated it really liked it
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 ...more
Subhajit Das
rated it really liked it
Nov 30, 2019
Sahil Verma
rated it it was amazing
Jan 11, 2020
« previous 1 3 next »
There are no discussion topics on this book yet. Be the first to start one »

Readers also enjoyed

  • The Almanack of Naval Ravikant: A Guide to Wealth and Happiness
  • Mastering Machine Learning with Scikit-Learn, Second Edition
  • Python Crash Course: A Hands-On, Project-Based Introduction to Programming
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow
  • Kotlin in Action
  • Cracking the Coding Interview: 150 Programming Questions and Solutions
  • Fluent Python: Clear, Concise, and Effective Programming
  • Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV
  • Modern Italy
  • Greenlights
  • Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers
  • Programming with MicroPython: Embedded Programming with Microcontrollers and Python
  • Using Asyncio in Python: Understanding Python's Asynchronous Programming Features
  • Voices from Chernobyl: The Oral History of a Nuclear Disaster
  • Courage: The Joy of Living Dangerously
  • Dynamic Programming for Coding Interviews: A Bottom-Up approach to problem solving
  • Emotions
See similar books…

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

Related Articles

San Francisco is a gold rush town. There aren’t many books about people in their 20s who move to Silicon Valley with dreams of earning a living...
34 likes · 1 comments