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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

Exploring the OpenVINO Toolkit

The OpenVINO toolkit is developed and packaged by Intel and is one of the most important packages for optimizing model performance. This makes the product useful in edge applications. It should not come as a surprise that Intel is the key player behind this toolkit since Intel is well-known for developing highly optimized libraries and tools for computation, such as OpenCV*, OpenVX*, Python* (this is different from Python and is an Intel distribution of accelerated Python), Intel MKL, and many more.

Note

These asterisks (*) imply that we are talking about highly optimized versions of the corresponding tool or library.

The OpenVINO toolkit specifically focuses on two things – interoperability and performance optimization. Let's talk about interoperability first, referencing deep learning for a moment to understand this term. We have several types of deep learning libraries – PyTorch, TensorFlow, and Caffe, to name a few. We...

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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.

See other products by Hafsa Asad

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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