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Key benefits

Build powerful computer vision applications in concise code with OpenCV 4 and Python 3

Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking

Train, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networks

Description

Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you’ll have the skills you need to execute real-world computer vision projects.

Who is this book for?

If you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must.

What you will learn

Install and familiarize yourself with OpenCV 4 s Python 3 bindings

Understand image processing and video analysis basics

Use a depth camera to distinguish foreground and background regions

Detect and identify objects, and track their motion in videos

Train and use your own models to match images and classify objects

Detect and recognize faces, and classify their gender and age

Build an augmented reality application to track an image in 3D

Work with machine learning models, including SVMs, artificial neural networks (ANNs), and deep neural networks (DNNs)

What do you get with Print?

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Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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AI Assistant (beta) to help accelerate your learning

Frequently bought together

€36.99

€49.99

Learning OpenCV 4 Computer Vision with Python 3

€37.99

Total € 124.97

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Amazon verified reviews

Anonymous Joe (electrical engineer) May 13, 2021

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

Amazon Verified review

Rz Feb 22, 2021

Lavoro nel settore CV da anni e volevo verificare l'efficacia di Python per OpenCV, che ho usato ma sempre trovato macchinose nella versione C++. Ho iniziato da questo testo e ne sono entusiasta. A differenza di altri testi (anche della stessa collana) il testo espone l'uso di OpenCV 4 con Python in modo chiaro e esplicativo, illustrando le varie possibilità a complessità crescente con spiegazione di ogni riga di codice, funzioni e relativi parametri. Esempi funzionanti scaricati dal sito, una volta tanto senza sforzo. Consigliatissimo e anche divertente.

Riley Tallman Apr 28, 2020

I have taken two graduate level courses in image processing at Arizona State University which have taught me many of the concepts in this book like depth estimation, edge detectors, and convolutional filters. The book briefly describes the concepts of the algorithms and then shows the code necessary to perform them. It is a perfect supplement for an intermediate user who is aware of some image processing techniques/concepts but has never performed them with code, like myself.I highly recommend this book."But can't I just look up tutorial online about OpenCV?"You certainly can and you will probably find what you are looking for. However, when searching online you have to know what you are looking for. With this book, the information comes to you rather than you seeking it out. There are so many algorithms that I did not know about, like the "Harris corner detection algorithm" that I would never come across if it weren't for this book.

Sinjin Sep 07, 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.

roudan Jan 24, 2021

This is a great book to learn opencv library and image processing, detection etc. It makes me interested in computer vision. My favorite is the python codes comes with the book. They all work and I can easily use the codes for my application. so the book is definitely worthy! Thanks Joseph for this great book, I thorough enjoy it.

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

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