Computer Vision with Python 3 by Saurabh Kapur English | 2017 | ISBN: 1788299760 | 199 Pages | True PDF | 20 MB
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. 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. What you will learn: - Working with open source libraries such Pillow, Scikit-image, and OpenCV - Writing programs such as edge detection, color processing, image feature extraction, and more - Implementing feature detection algorithms like LBP and ORB - Tracking objects using an external camera or a video file - Optical Character Recognition using Machine Learning. - Understanding Convolutional Neural Networks to learn patterns in images - Leveraging Cloud Infrastructure to provide Computer Vision as a Service
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