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Learning OpenCV 5 Computer Vision with Python
Learning OpenCV 5 Computer Vision with Python

Learning OpenCV 5 Computer Vision with Python: Tackle computer vision and machine learning with the newest tools, techniques and algorithms , Fourth Edition

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Profile Icon Joseph Howse Profile Icon Joe Minichino
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Early Access Early Access Publishing in Jul 2025
€8.99 €26.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Jul 2025 4th Edition
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€8.99 €26.99
Paperback
€33.99
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Arrow left icon
Profile Icon Joseph Howse Profile Icon Joe Minichino
Arrow right icon
Early Access Early Access Publishing in Jul 2025
€8.99 €26.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Jul 2025 4th Edition
eBook
€8.99 €26.99
Paperback
€33.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€33.99
Subscription
Free Trial
Renews at €18.99p/m

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Learning OpenCV 5 Computer Vision with Python

Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.

You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

  1. Chapter 1: Setting Up OpenCV
  2. Chapter 2: Handling Files, Cameras, and GUIs
  3. Chapter 3: Processing Images with OpenCV
  4. Chapter 4: Depth Estimation and Segmentation
  5. Chapter 5: Detecting and Recognizing Faces
  6. Chapter 6: Retrieving Images and Searching Using Image Descriptors
  7. Chapter 7: Building Custom Object Detector
  8. Chapter 8: Tracking Objects
  9. Chapter 9: Camera Models and Augmented Reality
  10. Chapter 10: 3D Reconstruction and Navigation
  11. Chapter 11: Introduction to Neural Networks with OpenCV
  12. Chapter 12: OpenCV Applications at Scale
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Key benefits

  • Build powerful computer vision applications in concise code with OpenCV 5 and Python 3
  • Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking
  • Train, use, and understand machine learning models, and deploy them in the Cloud

Description

Computer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases 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 5 and Python 3. You'll start by setting up OpenCV 5 with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying images, videos, and camera feeds. From taking you through image processing, video analysis, 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. You'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning, which will enable you to create and use object detectors and even track moving objects in real time. Later, you'll develop your skills in augmented reality and real-world 3D navigation. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age, and you'll deploy your solutions to the Cloud. 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?

This OpenCV book is a good fit for Python programmers who want to get started with computer vision and machine learning. This book will also be useful for Computer vision and AI/ML developers who want to expand their OpenCV skills as well as experts who want to stay up-to-date with OpenCV 5.

What you will learn

  • Install and familiarize yourself with OpenCV 5 s Python 3 bindings
  • Understand image processing and video analysis
  • 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 augmented reality applications, and navigate the real 3D world
  • Train neural networks and deploy them as Cloud-based solutions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2025
Edition : 4th
Language : English
ISBN-13 : 9781803234250
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Product Details

Publication date : Jul 31, 2025
Edition : 4th
Language : English
ISBN-13 : 9781803234250
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Table of Contents

11 Chapters
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning Chevron down icon Chevron up icon
Setting Up OpenCV Chevron down icon Chevron up icon
Handling Files, Cameras, and GUIs Chevron down icon Chevron up icon
Processing Images with OpenCV Chevron down icon Chevron up icon
Detecting and Recognizing Faces Chevron down icon Chevron up icon
Retrieving Images and Searching Using Image Descriptors Chevron down icon Chevron up icon
Building Custom Object Detectors Chevron down icon Chevron up icon
Tracking Objects Chevron down icon Chevron up icon
Camera Models and Augmented Reality Chevron down icon Chevron up icon
Introduction to Neural Networks with OpenCV Chevron down icon Chevron up icon
OpenCV Applications at Scale Chevron down icon Chevron up icon

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