Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Alberto Fernández Villán

€18.99 per month

3.7 (12 Ratings)

Paperback Mar 2019 532 pages 1st Edition

€8.99 ~~€29.99~~

Renews at €18.99p/m

Alberto Fernández Villán

€18.99 per month

3.7 (12 Ratings)

Paperback Mar 2019 532 pages 1st Edition

€8.99 ~~€29.99~~

Renews at €18.99p/m

€8.99 ~~€29.99~~

Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

View plans & pricing

View table of contents

Preview Book

Key benefits

Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python
Apply machine learning and deep learning techniques with TensorFlow and Keras
Discover the modern design patterns you should avoid when developing efficient computer vision applications

Description

OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.

Who is this book for?

This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

What you will learn

Handle files and images, and explore various image processing techniques
Explore image transformations, including translation, resizing, and cropping
Gain insights into building histograms
Brush up on contour detection, filtering, and drawing
Work with Augmented Reality to build marker-based and markerless applications
Work with the main machine learning algorithms in OpenCV
Explore the deep learning Python libraries and OpenCV deep learning capabilities
Create computer vision and deep learning web applications

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

View plans & pricing

Product Details

Publication date : Mar 29, 2019

Length: 532 pages

Edition : 1st

Language : English

ISBN-13 : 9781789344912

Vendor :

Intel

Category :

Data

Languages :

Concepts :

Augmented Reality

Tools :

Frequently bought together

OpenCV 4 for Secret Agents

OpenCV 4 for Secret Agents

Apr 2019 336 pages

eBook

€8.99 ~~€26.99~~

OpenCV 4 Computer Vision Application Programming Cookbook

OpenCV 4 Computer Vision Application Programming Cookbook

May 2019 494 pages

eBook

€8.99 ~~€26.99~~

Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python

Mar 2019 532 pages

eBook

€8.99 ~~€29.99~~

Total € 102.97

OpenCV 4 for Secret Agents

€32.99

OpenCV 4 Computer Vision Application Programming Cookbook

€32.99

Mastering OpenCV 4 with Python

€36.99

Total € 102.97

Table of Contents

19 Chapters

Section 1: Introduction to OpenCV 4 and Python

Section 1: Introduction to OpenCV 4 and Python

Setting Up OpenCV

Setting Up OpenCV

Technical requirements

Understanding Python

A theoretical introduction to the OpenCV library

Installing OpenCV, Python, and other packages

Installing Python, OpenCV, and other packages with virtualenv

Python IDEs to create virtual environments with virtualenv

Anaconda/Miniconda distributions and conda package–and environment-management system

Packages for scientific computing, data science, machine learning, deep learning, and computer vision

Jupyter Notebook

The OpenCV and Python project structure

Our first Python and OpenCV project

Further reading

Image Basics in OpenCV

Image Basics in OpenCV

Technical requirements

A theoretical introduction to image basics

Concepts of pixels, colors, channels, images, and color spaces

The coordinate system in OpenCV

Accessing and manipulating pixels in OpenCV

BGR order in OpenCV

Further reading

Handling Files and Images

Handling Files and Images

Technical requirements

An introduction to handling files and images

Reading and writing images

Reading camera frames and video files

Writing a video file

Playing with video capture properties

Further reading

Constructing Basic Shapes in OpenCV

Constructing Basic Shapes in OpenCV

Technical requirements

A theoretical introduction to drawing in OpenCV

Dynamic drawing with mouse events

Advanced drawing

Further reading

Section 2: Image Processing in OpenCV

Section 2: Image Processing in OpenCV

Image Processing Techniques

Image Processing Techniques

Technical requirements

Splitting and merging channels in OpenCV

Geometric transformations of images

Image filtering

Arithmetic with images

Morphological transformations

Further reading

Constructing and Building Histograms

Constructing and Building Histograms

Technical requirements

A theoretical introduction to histograms

Grayscale histograms

Color histograms

Custom visualizations of histograms

Comparing OpenCV, NumPy, and Matplotlib histograms

Histogram equalization

Contrast Limited Adaptive Histogram Equalization

Comparing CLAHE and histogram equalization

Histogram comparison

Further reading

Thresholding Techniques

Thresholding Techniques

Technical requirements

Introducing thresholding techniques

Simple thresholding

Adaptive thresholding

Otsu's thresholding algorithm

The triangle binarization algorithm

Thresholding color images

Thresholding algorithms using scikit-image

Further reading

Contour Detection, Filtering, and Drawing

Contour Detection, Filtering, and Drawing

Technical requirements

An introduction to contours

Compressing contours

More functionality related to contours

Filtering contours

Recognizing contours

Matching contours

Further reading

Augmented Reality

Augmented Reality

Technical requirements

An introduction to augmented reality

Markerless-based augmented reality

Marker-based augmented reality

Snapchat-based augmented reality

QR code detection

Further reading

Section 3: Machine Learning and Deep Learning in OpenCV

Section 3: Machine Learning and Deep Learning in OpenCV

Machine Learning with OpenCV

Machine Learning with OpenCV

Technical requirements

An introduction to machine learning

k-means clustering

k-nearest neighbor

Support vector machine

Further reading

Face Detection, Tracking, and Recognition

Face Detection, Tracking, and Recognition

Technical requirements

Face processing introduction

Detecting facial landmarks

Face recognition

Further reading

Introduction to Deep Learning

Introduction to Deep Learning

Technical requirements

Deep learning overview for computer vision tasks

Deep learning in OpenCV

The TensorFlow library

The Keras library

Further reading

Section 4: Mobile and Web Computer Vision

Section 4: Mobile and Web Computer Vision

Mobile and Web Computer Vision with Python and OpenCV

Mobile and Web Computer Vision with Python and OpenCV

Technical requirements

Introduction to Python web frameworks

Introduction to Flask

Web computer vision applications using OpenCV and Flask

Deep learning API using Keras and Flask

Deploying a Flask application to the cloud

Further reading

Assessments

Other Books You May Enjoy

Other Books You May Enjoy

Leave a review - let other readers know what you think

Recommendations for you

Python Machine Learning By Example

Python Machine Learning By Example

Jul 2024 518 pages

eBook

€8.99 ~~€27.99~~

Unlocking Data with Generative AI and RAG

Unlocking Data with Generative AI and RAG

Sep 2024 346 pages

eBook

€8.99 ~~€23.99~~

Building LLM Powered Applications

Building LLM Powered Applications

May 2024 342 pages

eBook

€8.99 ~~€29.99~~

Python for Algorithmic Trading Cookbook

Python for Algorithmic Trading Cookbook

Aug 2024 404 pages

eBook

€8.99 ~~€35.99~~

Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

Feb 2022 774 pages

eBook

€8.99 ~~€32.99~~

Artificial Intelligence Engines

Artificial Intelligence Engines

Nov 2024 217 pages

eBook

€4.99 ~~€7.99~~

AI Product Manager's Handbook

AI Product Manager's Handbook

Nov 2024 484 pages

eBook

€8.99 ~~€29.99~~

RAG-Driven Generative AI

RAG-Driven Generative AI

Sep 2024 334 pages

eBook

€8.99 ~~€32.99~~

Hands-On Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

Jun 2018 318 pages

eBook

€8.99 ~~€23.99~~

LLM Engineer's Handbook

LLM Engineer's Handbook

Oct 2024 522 pages

eBook

€8.99 ~~€43.99~~

People who bought this also bought

Machine Learning Engineering with Python

Machine Learning Engineering with Python

Aug 2023 462 pages

eBook

€8.99 ~~€29.99~~

Deep Learning with TensorFlow and Keras – 3rd edition

Deep Learning with TensorFlow and Keras – 3rd edition

Oct 2022 698 pages

eBook

€8.99 ~~€29.99~~

Modern Generative AI with ChatGPT and OpenAI Models

Modern Generative AI with ChatGPT and OpenAI Models

May 2023 286 pages

eBook

€8.99 ~~€29.99~~

Generative AI with LangChain

Generative AI with LangChain

Dec 2023 368 pages

eBook

€8.99 ~~€29.99~~

Causal Inference and Discovery in Python

Causal Inference and Discovery in Python

May 2023 456 pages

eBook

€8.99 ~~€23.99~~

About the author

Alberto Fernández Villán

Alberto Fernández Villán

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.

See other products by Alberto Fernández Villán

FAQs

What is included in a Packt subscription?

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription?

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits?

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled?

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title?

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team.

Can I download the code files for Early Access titles?

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date?

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready?

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access?

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered?

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content?

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access?

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.