Building computer vision applications using artificial neural networks : with examples in OpenCV and TensorFlow with Python / Shamshad Ansari.
2023
TA1634
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Building computer vision applications using artificial neural networks : with examples in OpenCV and TensorFlow with Python / Shamshad Ansari.
Author
Ansari, Shamshad, author.
Edition
Second edition.
ISBN
9781484298664 (electronic bk.)
1484298667 (electronic bk.)
9781484298657
1484298659
1484298667 (electronic bk.)
9781484298657
1484298659
Published
[Berkeley, CA] : Apress, 2023.
Language
English
Description
1 online resource (xxii, 526 pages) : illustrations (some color)
Item Number
10.1007/978-1-4842-9866-4 doi
Call Number
TA1634
Dewey Decimal Classification
006.3/7
Summary
Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition⁰́b9s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you⁰́b9ll gain a thorough understanding of them. The book⁰́b9s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you⁰́b9ll have the knowledge and skills to build your own computer vision applications using neural networks You will: Understand image processing, manipulation techniques, and feature extraction methods Work with convolutional neural networks (CNN), single-shot detector (SSD), and YOLO Utilize large scale model development and cloud infrastructure deployment Gain an overview of FaceNet neural network architecture and develop a facial recognition system.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 28, 2023).
Available in Other Form
Print version: 9781484298657
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Chapter 1: Prerequisite and Software Installation
Chapter 2: Core Concepts of Image and Video Processing
Chapter 3: Techniques of Image Processing
Chapter 4: Building Artificial Intelligence System For Computer Vision
Chapter 5: Deep Learning or Artificial Neural Network
Chapter 6: Deep Learning in Object Detection
Chapter 7: Practical Example 1- Object Tracking in Videos
Chapter 8: Practical Example 2- Face Recognition
Chapter 9: Industrial Application - Realtime Defect Detection in Industrial
Chapter 10: Computer Vision Modeling on the Cloud.
Chapter 2: Core Concepts of Image and Video Processing
Chapter 3: Techniques of Image Processing
Chapter 4: Building Artificial Intelligence System For Computer Vision
Chapter 5: Deep Learning or Artificial Neural Network
Chapter 6: Deep Learning in Object Detection
Chapter 7: Practical Example 1- Object Tracking in Videos
Chapter 8: Practical Example 2- Face Recognition
Chapter 9: Industrial Application - Realtime Defect Detection in Industrial
Chapter 10: Computer Vision Modeling on the Cloud.