March 2018
Beginner to intermediate
306 pages
9h 54m
English
Overview
Delve into the world of computer vision with OpenCV 3 and Python through this recipe-driven guide. Learn to process images, analyze videos, and leverage deep learning models to solve challenging vision problems. This book equips you to apply a wide range of practical techniques for building effective computer vision applications.
What this Book will help me do
- Effectively manipulate image data for preprocessing and analysis.
- Understand and implement camera models and geometry transformations.
- Utilize OpenCV tools for feature detection and matching.
- Build applications using advanced object detection and recognition models.
- Develop practical computer vision solutions using Python and OpenCV.
Author(s)
Aleksei Spizhevoi and None Rybnikov are experienced professionals in computer vision and machine learning. With deep knowledge in OpenCV and Python, they crafted this cookbook to inspire developers to create innovative computer vision applications. Their approach emphasizes practical solutions, providing clear, actionable insights.
Who is it for?
Ideal for Python developers with basic OpenCV knowledge aiming to expand their expertise. This book is perfect for professionals desiring to create sophisticated computer vision systems efficiently. It welcomes readers wanting practical, real-world solutions. The perfect companion for developers eager to excel in computer vision.