Neural network computer vision with OpenCV 5 : (Record no. 11079)

MARC details
000 -LEADER
fixed length control field 01645nam a22002777a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250722150727.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250722s2024 ii ao||fr|||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355516961
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.37
Item number n.g.n.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nuti, Gopi Krishna,
Relator term author.
9 (RLIN) 60459
245 10 - TITLE STATEMENT
Title Neural network computer vision with OpenCV 5 :
Remainder of title build computer vision solutions using Python and DNN module /
Statement of responsibility, etc. Gopi Krishna Nuti.
250 ## - EDITION STATEMENT
Edition statement 1st edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent 266 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.<br/>
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction to Computer Vision ‡ 2. Basics of Imaging ‡ 3. Challenges in Computer Vision ‡ 4. Classical Solutions ‡ 5. Deep Learning and CNNs ‡ 6. OpenCV DNN Module ‡ 7. Modern Solutions for Image Classification ‡ 8. Modern Solutions for Object Detection ‡ 9. Faces and Text ‡ 10. Running the Code ‡ 11. End‑to‑end Demo.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. A practical guide to building intelligent computer vision systems using Python and OpenCV. Covers core techniques from morphological operations to deep learning with DNN frameworks, object detection (YOLO, SSD, R‑CNN), face/text recognition, and hands‑on code examples.:contentReference[oaicite:1]{index=1}<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 16776
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial neural networks.
9 (RLIN) 60460
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library C1 08/19/2025   006.37 n.g.n MA0002523 08/19/2025 C.1 08/19/2025 Books
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library C1 09/01/2025   006.37 n.g.n MA0003252 09/01/2025 C.2 09/01/2025 Books