Building computer vision applications using artificial neural networks : with examples in OpenCV and TensorFlow with Python / Shamshad Ansari.
Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition⁰́₉s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices,...
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| Format: | Ebook |
| Language: | English |
| Published: |
[Berkeley, CA] :
Apress,
2023.
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Springer eBooks |
| 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 edition⁰́₉s 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 you⁰́₉ll gain a thorough understanding of them. The book⁰́₉s 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, you⁰́₉ll 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. |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource (xxii, 526 pages) : illustrations |
| ISBN: | 9781484298664 1484298667 |