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Mastering OpenCV 4 with Python
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

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Profile Icon Alberto Fernández Villán
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€36.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (12 Ratings)
Paperback Mar 2019 532 pages 1st Edition
eBook
€20.98 €29.99
Paperback
€36.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Alberto Fernández Villán
Arrow right icon
€36.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (12 Ratings)
Paperback Mar 2019 532 pages 1st Edition
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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Mastering OpenCV 4 with Python

Section 1: Introduction to OpenCV 4 and Python

In this first section of the book, you will be introduced to the OpenCV library. You will learn how to install everything you need to start programming with Python and OpenCV. Also, you will familiarize yourself with the general terminology and concepts to contextualize what you will learn, establishing the foundations you will need in order to grasp the main concepts of this book. Additionally, you will start writing your first scripts in order to get to grips with the OpenCV library, and you will also learn how to work with files and images, which are necessary for building your computer vision applications. Finally, you will see how to draw basic and advanced shapes using the OpenCV library.

The following chapters will be covered in this section:

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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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 29, 2019
Length: 532 pages
Edition : 1st
Language : English
ISBN-13 : 9781789344912
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Estimated delivery fee Deliver to Czechia

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(Includes tracking information)

Product Details

Publication date : Mar 29, 2019
Length: 532 pages
Edition : 1st
Language : English
ISBN-13 : 9781789344912
Vendor :
Intel
Category :
Languages :
Tools :

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Table of Contents

19 Chapters
Section 1: Introduction to OpenCV 4 and Python Chevron down icon Chevron up icon
Setting Up OpenCV Chevron down icon Chevron up icon
Image Basics in OpenCV Chevron down icon Chevron up icon
Handling Files and Images Chevron down icon Chevron up icon
Constructing Basic Shapes in OpenCV Chevron down icon Chevron up icon
Section 2: Image Processing in OpenCV Chevron down icon Chevron up icon
Image Processing Techniques Chevron down icon Chevron up icon
Constructing and Building Histograms Chevron down icon Chevron up icon
Thresholding Techniques Chevron down icon Chevron up icon
Contour Detection, Filtering, and Drawing Chevron down icon Chevron up icon
Augmented Reality Chevron down icon Chevron up icon
Section 3: Machine Learning and Deep Learning in OpenCV Chevron down icon Chevron up icon
Machine Learning with OpenCV Chevron down icon Chevron up icon
Face Detection, Tracking, and Recognition Chevron down icon Chevron up icon
Introduction to Deep Learning Chevron down icon Chevron up icon
Section 4: Mobile and Web Computer Vision Chevron down icon Chevron up icon
Mobile and Web Computer Vision with Python and OpenCV Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7
(12 Ratings)
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4 star 16.7%
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1 star 16.7%
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Lukas Sliacky Jul 05, 2024
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Wayne Duquaine Jan 20, 2024
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Fred Longo Mar 28, 2023
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Why was this printed in back and white. The colored images are all gray scale.
Amazon Verified review Amazon
Pablo Nov 12, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Brillante libro de visión por computador, Este libro abarca todas las arias de la visión por computador; empezamos con Python aprendiendo a reconocer imágenes, ponerlas en display y llegar a formar cuadros líneas y rectas en ellas. Después llegar a la parte más interesante, que es la de Deep Learning; en esta parte se nos explica cómo generar redes neuronales para la identificación y clasificación de imágenes, entre otras.
Amazon Verified review Amazon
Manés Sep 18, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am an Electronic Engineer but not a specialist in image processing. I purchased the book because know I need to work on image processing applied to some branches of research in electrical Engineering. I did really like the book since it is practical and accessible. It is possible to get introduced in the field of image processing as well as to dive into more complex applications including machine learning. The use of Python combined with examples makes the learning curve fast, and the reader can choose the level of the depth or the field of application more suitable to his/her needs.Therefore, I think this book can be used by anyone with a very basic knowledge of image processing or someone with expertise in the field that wants to get practical information for any specific field. I do recommend it.
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