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The Computer Vision Workshop

You're reading from The Computer Vision Workshop

Product type Book

Published in Jul 2020

Publisher Packt

ISBN-13 9781800201774

Pages 568 pages

Edition 1st Edition

Languages

Concepts

Authors (3):

Hafsa Asad

Vishwesh Ravi Shrimali

Nikhil Singh

View More author details

Table of Contents (10) Chapters

Preface

1. Basics of Image Processing

2. Common Operations When Working with Images

3. Working with Histograms

4. Working with contours

5. Face Processing in Image and Video

6. Object Tracking

7. Object Detection and Face Recognition

8. OpenVINO with OpenCV

Appendix

Introduction to OpenCV

OpenCV, also known as the Open Source Computer Vision library, is the most commonly used computer vision library. Primarily written in C++, it's also commonly used in Python, thanks to its Python wrappers. Over the years, OpenCV has been through multiple revisions and its current version is 4.2.0 (which is the version we are going to use in this book). What makes it different from other computer vision libraries is the fact that it's fast and easy to use, it provides support for libraries such as QT and OpenGL, and most importantly, it provides hardware acceleration for Intel processors. These powerful features/benefits make OpenCV the perfect choice for understanding the various concepts of computer vision and implementing them. Apart from OpenCV, we will also use NumPy for some basic computation and Matplotlib for visualization, wherever required.

Note

Refer to the Preface for NumPy and OpenCV installation instructions.

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Authors (3)

Hafsa Asad

Hafsa Asad graduated in Mechatronics Engineering from NUST, Pakistan. She worked at EVEATI Pvt Ltd for 5 years as a Machine Learning Engineer and Trainer.

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Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.

See other products by Vishwesh Ravi Shrimali

Nikhil Singh

Nikhil Singh is a computer vision and natural language processing engineer who likes to apply his knowledge of machine learning and deep learning to solve intriguing problems. He currently works as a data scientist for Alixpartners, London. After getting satisfactory results, he believes his work will help Alixpartners to achieve more excellence in their field. He is also the prime author of the book "Video Analytics using TensorFlow" for Apress Publication.

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