| 000 -LEADER |
|---|
| fixed length control field |
02524 a2200205 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240131153810.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240131b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781789531619 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
ICTS-TIFR |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Howse, Joseph |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Learning openCV 4 computer vision with python 3 |
| Remainder of title |
: get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Name of publisher, distributor, etc. |
Packt Publishing, |
| Place of publication, distribution, etc. |
Birmingham : |
| Date of publication, distribution, etc. |
[c2020] |
| 300 ## - Physical Description |
|---|
| Pages: |
358 p. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1: Setting Up OpenCV <br/>Chapter 2: Handling Files, Cameras, and GUIs <br/>Chapter 3: Processing Images with OpenCV <br/>Chapter 4: Depth Estimation and Segmentation <br/>Chapter 5: Detecting and Recognizing Faces <br/>Chapter 6: Retrieving Images and Searching Using Image Descriptors<br/>Chapter 7: Building Custom Object Detectors <br/>Chapter 8: Tracking Objects<br/>Chapter 9: Camera Models and Augmented Reality<br/>Chapter 10: Neural Networks with OpenCV - An Introduction<br/>Appendix A: Bending Color Space with a Curves Filter |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you’ll have the skills you need to execute real-world computer vision projects. Summary provided by the publisher |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Minichino, Joe |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
