Hafsa Asad - The Computer Vision Workshop: Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior
Key Features- Understand OpenCV and select the right algorithm to solve real-world problems
- Discover techniques for image and video processing
- Learn how to apply face recognition in videos to automatically extract key information
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.
Starting with an introduction to the OpenCV library, youll learn how to write your first script using basic image processing operations. Youll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, youll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.
By the end of this book, youll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
What you will learn- Access and manipulate pixels in OpenCV using BGR and grayscale images
- Create histograms to better understand image content
- Use contours for shape analysis, object detection, and recognition
- Track objects in videos using a variety of trackers available in OpenCV
- Discover how to apply face recognition tasks using computer vision techniques
- Visualize 3D objects in point clouds and polygon meshes using Open3D
If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Table of Contents- Basics of Image Processing
- Common Operations When Working with Images
- Working with Histograms
- Working with Contours
- Face Processing in Image and Video
- Object Tracking
- Object Detection and Face Recognition
- OpenVINO with OpenCV
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Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
Hafsa Asad, Vishwesh Ravi Shrimali, and Nikhil Singh
Copyright 2020 Packt Publishing
All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this course to ensure the accuracy of the information presented. However, the information contained in this course is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this course.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this course by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: Hafsa Asad, Vishwesh Ravi Shrimali, and Nikhil Singh
Reviewers: Richmond Alake, Sayantani Basu, John Wesley Doyle, Tim Hoolihan, Harshil Jain, Amar Kumar, Shiva Prasad, Geetank Raipura, Shovon Sengupta, and Sanchit Singh
Managing Editors: Anush Kumar Mehalavarunan, Bhavesh Bangera, and Rutuja Yerunkar
Acquisitions Editors: Manuraj Nair, Royluis Rodrigues, Kunal Sawant, Anindya Sil, and Archie Vankar
Production Editor: Shantanu Zagade
Editorial Board: Megan Carlisle, Samuel Christa, Mahesh Dhyani, Heather Gopsill, Manasa Kumar, Alex Mazonowicz, Monesh Mirpuri, Bridget Neale, Dominic Pereira, Shiny Poojary, Abhishek Rane, Brendan Rodrigues, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray
First published: July 2020
Production reference: 1240720
ISBN: 978-1-80020-177-4
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.
Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV workshop will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.
By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Chapter 1, Basics of Image Processing, introduces you to the basic building blocks of images pixels. You will get hands-on experience in how to access and manipulate images using NumPy and OpenCV.
Chapter 2, Common Operations When Working with Images, introduces the idea of geometric transformations as matrix multiplication and shows how to carry them out using the OpenCV library. This chapter also details the arithmetic operations involved when working with images.
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