Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python / by Shamshad Ansari.

Format:

Book

Author/Creator:

Ansari, Shamshad.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Machine learning.

Python (Computer program language).

Open source software.

Machine Learning.

Python.

Open Source.

Local Subjects:

Machine Learning.

Python.

Open Source.

Physical Description:

1 online resource (541 pages)

Edition:

2nd ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

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 edition’s 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 you’ll gain a thorough understanding of them. The book’s 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, you’ll 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.

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.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9781484298664

1484298667

OCLC:

1410821552