February 2020
Intermediate to advanced
372 pages
9h 26m
English
Overview
This comprehensive guide to OpenCV and Python teaches you the core principles and practices of computer vision to develop real-world applications. You'll learn how to handle images and videos, use machine learning algorithms, and build applications ranging from face detection to augmented reality.
What this Book will help me do
- Install OpenCV and set up your development environment to start coding immediately.
- Process and analyze images and videos to extract meaningful insights.
- Implement machine learning models for object classification and tracking.
- Build an augmented reality application to enhance digital interactions.
- Detect and recognize faces and implement demographic classification algorithms.
Author(s)
Joseph Howse and Joe Minichino are experts in computer vision and AI development with extensive backgrounds in software engineering. Joseph contributes to OpenCV innovations, while Joe specializes in machine learning implementations. Together, they provide clear explanations and actionable insights.
Who is it for?
The book is ideal for software developers, data scientists, and technologists who want to gain skills in computer vision. Readers should have a basic understanding of Python programming. Whether you are just starting or experienced, this book will elevate your understanding of computer vision with practical projects.
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