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Building computer vision applications using artificial neural networks : with examples in OpenCV and TensorFlow with Python / Shamshad Ansari.

Second edition.

9781484298664 (electronic bk.)
1484298667 (electronic bk.)
9781484298657
1484298659

[Berkeley, CA] : Apress, 2023.

English

1 online resource (xxii, 526 pages) : illustrations (some color)

10.1007/978-1-4842-9866-4 doi

TA1634

006.3/7

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.

Includes index.

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Online resource; title from PDF title page (SpringerLink, viewed November 28, 2023).

Print version: 9781484298657

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