Howse, Joseph
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
- ISBN 13:
- 9781789531619
- author:
- Howse, Joseph
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2020
- Pages:
- 372
- Dimensions:
- 23.5 x 19.1 x 2 centimetres (0.6
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Learning OpenCV 4 Computer Vision with Python 3 is a comprehensive guide to building powerful computer vision applications using OpenCV 4 and Python 3. Updated for the latest versions, this book covers key topics such as depth cameras, 3D tracking, augmented reality, and deep neural networks.
You'll learn how to perform basic operations like image processing, video analysis, and depth estimation, and then move on to more advanced challenges like face detection and object classification. The book also covers 3D tracking and augmented reality, as well as machine learning concepts like Support Vector Machines (SVMs) and neural networks.
With practical code examples and hands-on activities, this book ensures you'll gain the skills needed to build real-world computer vision applications. Whether you're getting started or looking to deepen your expertise, Learning OpenCV 4 Computer Vision with Python 3 is an essential resource for anyone working in computer vision and machine learning.