| 000 -LEADER |
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| fixed length control field |
04352nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250807150826.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250712b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789355516961 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Nuti, Gopi Krishna |
| Relator term |
author |
| 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 |
First edition |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New Delhi : |
| Name of publisher, distributor, etc |
BPB Publications, |
| Date of publication, distribution, etc |
[2024] |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 247 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 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Source of term |
Intro -- Cover Page -- Title Page -- Copyright Page -- Dedication -- About the Author -- About the Reviewer -- Acknowledgement -- Preface -- Table of Contents -- 1. Introduction to Computer Vision -- Introduction -- Structure -- Objectives -- History of computer imaging -- Retrieving information from images -- Image processing -- Representation -- Manipulation -- Flexibility -- Reproducibility -- Digital image processing -- Conclusion -- Exercises -- 2. Basics of Imaging -- Introduction -- Structure -- Objectives -- Pixels and image representation -- Pixels -- Color spaces -- Primary colors<br/><br/>Additive colors -- Subtractive colors -- Grayscale -- Other color spaces -- Pixels and color spaces -- Examples -- Image filetypes -- Video files -- Images and videos -- Programming for image data -- A brief history of computer image programming -- OpenCV: History and overview -- Image processing code samples -- Opening, viewing and closing image files -- CPP code -- Python code -- Videos and frames -- Programming with color spaces -- Grayscale -- RGB image -- Conclusion -- Exercises -- 3. Challenges in Computer Vision -- Introduction -- Structure -- Objectives -- Topics in computer vision<br/><br/>Complexity in image processing -- Image classification -- Object localization -- Image segmentation -- Character recognition -- Conclusion -- Exercises -- Key terms -- 4. Classical Solutions -- Introduction -- Structure -- Objectives -- Solutions for challenges in computer vision -- Classical solutions -- Modern solutions -- Algorithm families -- Morphological operations -- Erosion and dilation of images -- Closing and opening images -- Thresholding -- Detecting edges and corners -- Image transformations -- Region growing -- Clustering -- Template matching -- Watershed algorithm<br/><br/>Foreground and background detection -- Superpixels -- Image pyramids -- Convolution -- Conclusion -- Exercises -- Key terms -- 5. Deep Learning and CNNs -- Introduction -- Structure -- Objectives -- History of deep learning -- Perceptron -- Shallow learning networks -- Deep learning networks -- Weights, biases, and activation functions -- Weight -- Bias -- Activation function -- Optimization function -- Convolutional neural networks -- CNNs versus fully connected networks -- Deep learning process -- Training -- Techniques in training -- Inference process -- Techniques/tricks in inference<br/><br/>Conclusion -- Key terms -- Exercises -- 6. OpenCV DNN Module -- Introduction -- Structure -- Objectives -- Deep learning frameworks -- TensorFlow -- PyTorch -- Keras -- Inference for computer vision -- Local inferencing -- Local CPUs -- Local GPUs -- Cloud -- Edge computing -- OpenCV DNN module -- History -- Features and limitations -- Capabilities -- Limitations -- Considerations -- Supported layers -- Unsupported layers and operations -- Important classes -- Conclusion -- Exercises -- 7. Modern Solutions for Image Classification -- Introduction -- Structure -- Objectives |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
OpenCV (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
BOOK |