Learning OpenCV 4 Computer Vision with Python 3
Now in its third edition, this is the original book on OpenCV’s Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-the-art, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications.
Offered by
Difficulty Level
Intermediate
Completion Time
12h24m
Language
English
About Book
Who Is This Book For?
If you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must.
Learning OpenCV 4 Computer Vision with Python 3
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h24m total length
Understanding OpenCV and Setting Up Environment
Handling Files, Cameras, and GUIs
Processing Images with OpenCV
Depth Estimation and Segmentation
Detecting and Recognizing Faces
Retrieving Images and Searching Using Image Descriptors
Building Custom Object Detectors
Tracking Objects
Camera Models and Augmented Reality
Neural Networks with OpenCV - An Introduction
Appendix 1: Bending Color Space with a Curves Filter
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