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

Joseph Howse

Joe Minichino

€18.99 per month

5 (1 Ratings)

Paperback Jul 2025 4th Edition

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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.

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

What do you get with a Packt Subscription?

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

This Early Access product may have unedited chapters and, although we aim for accuracy, content may be updated during development

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.

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View plans & pricing

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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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