---
product_id: 211519629
title: "Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition"
price: "₩147095"
currency: KRW
in_stock: true
reviews_count: 12
url: https://www.desertcart.kr/products/211519629-learning-opencv-4-computer-vision-with-python-3-get-to
store_origin: KR
region: South Korea
---

# Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition

**Price:** ₩147095
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- **What is this?** Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
- **How much does it cost?** ₩147095 with free shipping
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## Description

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition [Joseph Howse, Joe Minichino] on desertcart.com. *FREE* shipping on qualifying offers. Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition

Review: Best Introduction to OpenCV I have found! - I spent several weeks researching OpenCV books, ordered a few, and was terribly disappointed. Then I stumbled onto this gem. It covers all the major topics under the OpenCV umbrella and does so succinctly and in a very readable manner. In fact, I read the whole book cover to cover without touching the code. This is almost impossible with most computing books, but the authors have a very approachable writing and teaching style. The only place they really slipped up was in the descriptions of SIFT, SURF, FAST, and similar algorithms. Those sections were pretty confusing and unclear. One thing I appreciated was that the authors take time to build a suite of modules, like you'd need in real life applications. More than just providing code, they provide guidance on when to make separate modules and why (generally to facilitate expansion of the program later). I was particularly interested in detecting custom objects, and had become very frustrated with the approaches in other books and in online tutorials. The authors' approach is straightforward and easy to follow, and I am currently applying it. Unlike other Packt books, I had no problem downloading the book's code, however, I did run into some difficulty finding and downloading some of the public training datasets (such as for detecting cars). Despite this, the book is still head-and-shoulders above other OpenCV resources I have attempted to use. If you are just getting started with OpenCV, do yourself a favor and get a copy of Learning OpenCV.
Review: Great Intro to open cv - Learning OpenCV 4 is a strong introduction to computer vision with Python. It gives you a solid overview of the core fundamentals without overwhelming you with unnecessary complexity. The book walks through key concepts like image processing, transformations, filtering, feature detection, and basic machine learning applications in a structured, practical way. What makes it especially useful is that it balances theory and implementation. You get enough explanation to understand what’s happening under the hood, but the focus stays on actually using OpenCV with Python. It doesn’t dive too deeply into advanced mathematics or research-level detail, which makes it ideal for beginners or developers who want a working understanding before moving on to more advanced material.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,305,652 in Books ( See Top 100 in Books ) #124 in Computer Vision & Pattern Recognition #832 in Python Programming #1,760 in Computer Graphics & Design |
| Customer Reviews | 4.3 4.3 out of 5 stars (115) |
| Dimensions  | 7.5 x 0.84 x 9.25 inches |
| Edition  | 3rd ed. |
| ISBN-10  | 1789531616 |
| ISBN-13  | 978-1789531619 |
| Item Weight  | 1.54 pounds |
| Language  | English |
| Print length  | 372 pages |
| Publication date  | February 20, 2020 |
| Publisher  | Packt Publishing |

## Images

![Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition - Image 1](https://m.media-amazon.com/images/I/71RGNTeHKtL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Best Introduction to OpenCV I have found!
*by S***N on September 7, 2020*

I spent several weeks researching OpenCV books, ordered a few, and was terribly disappointed. Then I stumbled onto this gem. It covers all the major topics under the OpenCV umbrella and does so succinctly and in a very readable manner. In fact, I read the whole book cover to cover without touching the code. This is almost impossible with most computing books, but the authors have a very approachable writing and teaching style. The only place they really slipped up was in the descriptions of SIFT, SURF, FAST, and similar algorithms. Those sections were pretty confusing and unclear. One thing I appreciated was that the authors take time to build a suite of modules, like you'd need in real life applications. More than just providing code, they provide guidance on when to make separate modules and why (generally to facilitate expansion of the program later). I was particularly interested in detecting custom objects, and had become very frustrated with the approaches in other books and in online tutorials. The authors' approach is straightforward and easy to follow, and I am currently applying it. Unlike other Packt books, I had no problem downloading the book's code, however, I did run into some difficulty finding and downloading some of the public training datasets (such as for detecting cars). Despite this, the book is still head-and-shoulders above other OpenCV resources I have attempted to use. If you are just getting started with OpenCV, do yourself a favor and get a copy of Learning OpenCV.

### ⭐⭐⭐⭐ Great Intro to open cv
*by S***M on February 25, 2026*

Learning OpenCV 4 is a strong introduction to computer vision with Python. It gives you a solid overview of the core fundamentals without overwhelming you with unnecessary complexity. The book walks through key concepts like image processing, transformations, filtering, feature detection, and basic machine learning applications in a structured, practical way. What makes it especially useful is that it balances theory and implementation. You get enough explanation to understand what’s happening under the hood, but the focus stays on actually using OpenCV with Python. It doesn’t dive too deeply into advanced mathematics or research-level detail, which makes it ideal for beginners or developers who want a working understanding before moving on to more advanced material.

### ⭐⭐⭐⭐⭐ Don't hesitate to buy
*by A***) on May 13, 2021*

Arrived in perfect condition. I Suggest this book to anyone learning open CV with python

## Frequently Bought Together

- Learning OpenCV 4 Computer Vision with Python
- Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
- Computer Vision: Algorithms and Applications (Texts in Computer Science)

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*Product available on Desertcart South Korea*
*Store origin: KR*
*Last updated: 2026-04-24*