Practical Computer Vision
Computer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in your images. As you go through the chapters, you'll work with increasingly complex algorithms to develop complex Computer Vision applications
Offered by
Difficulty Level
Intermediate
Completion Time
7h48m
Language
English
About Book
Who Is This Book For?
This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Practical Computer Vision
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 7h48m total length
A Fast Introduction to Computer Vision
Libraries, Development Platform, and Datasets
Image Filtering and Transformations in OpenCV
What is a Feature?
Convolutional Neural Networks
Feature-Based Object Detection
Segmentation and Tracking
3D Computer Vision
Mathematics for Computer Vision
Machine Learning for Computer Vision
Related Resources
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