January 2018
Intermediate to advanced
268 pages
6h 20m
English
Overview
Dive into the exciting world of computer vision with "OpenCV 3.x with Python By Example." This guide will teach you how to construct powerful applications leveraging the OpenCV library and Python for tasks such as object recognition, feature extraction, and even augmented reality. Develop your skills step-by-step with practical examples and implement real-world computer vision pipelines.
What this Book will help me do
- Understand how to apply geometric transformations and filters to images.
- Learn to detect and track objects using advanced OpenCV features.
- Master techniques for object and feature recognition within images and videos.
- Develop real-time augmented reality applications.
- Gain expertise in using machine learning and neural networks in OpenCV workflows.
Author(s)
Gabriel Garrido Calvo and Prateek Joshi, the authors of this book, are experts in the field of computer vision and software development. Gabriel specializes in machine learning and advanced imaging techniques, while Prateek is known for his innovative solutions in artificial intelligence. Together, they bring their deep technical knowledge and teaching expertise to create content that is approachable and effective for developers.
Who is it for?
This book is ideal for Python developers who are taking their first steps into the world of computer vision with OpenCV. If you're aiming to develop practical applications using these tools, this book is your guide. The content is accessible to developers with foundational knowledge in programming and some familiarity with mathematical concepts like matrices and vectors. Whether you're curious about utilizing OpenCV for personal projects or professional development, this book caters to your aspirations.
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