Building computer vision applications using artificial neural networks

• Verfasst von: Ansari, Shamshad [VerfasserIn]
• Titel: Building computer vision applications using artificial neural networks
• Titelzusatz: with examples in OpenCV and TensorFlow with Python
• Verf.angabe: Shamshad Ansari
• Ausgabe: Second edition.
• Verlagsort: [Berkeley, CA]
• Verlag: Apress
• Jahr: 2023
• Umfang: 1 online resource (xxii, 526 pages)
• Illustrationen: illustrations (some color)
• Fussnoten: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed November 28, 2023)
• ISBN: 978-1-4842-9866-4
• ISBN: 1-4842-9866-7
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Vision par ordinateur
• Sach-SW: Réseaux neuronaux (Informatique)
• Sach-SW: OpenCV (Langage de programmation)
• Sach-SW: Logiciels d'application ; Développement
• Sach-SW: Python (Langage de programmation)
• Sach-SW: Traitement d'images
• Sach-SW: Apprentissage automatique
• Sach-SW: image processing
• K10plus-PPN: 187729747X
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4448074102
• Lokale URL Inst.: Zum Volltext

Abstract

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.