Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python

✍ Scribed by Shamshad Ansari

Publisher: Apress
Year: 2023
Tongue: English
Leaves: 541
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python 2nd Edition

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.

✦ Table of Contents

Cover
Front Matter
1. Prerequisites and Software Installation
2. Core Concepts of Image and Video Processing
3. Techniques of Image Processing
4. Building a Machine Learning–Based Computer Vision System
5. Deep Learning and Artificial Neural Networks
6. Deep Learning in Object Detection
7. Practical Example: Object Tracking in Videos
8. Practical Example: Face Recognition
9. Industrial Application: Real-Time Defect Detection in Industrial Manufacturing
10. Computer Vision Modeling on the Cloud
Back Matter

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