Computer Vision with Python 3
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Computer Vision with Python 3
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Overview of this book
<p>This book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithms.</p>
<p>The book aims to equip readers to build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we will look at in the book are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.</p>
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
Introduction to Image Processing
Filters and Features
Drilling Deeper into Features - Object Detection
Segmentation - Understanding Images Better
Integrating Machine Learning with Computer Vision
Image Classification Using Neural Networks
Introduction to Computer Vision using OpenCV
Object Detection Using OpenCV
Video Processing Using OpenCV
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