| Description |
1 online resource (xxii, 526 pages) : illustrations (some color) |
| 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. |
| 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. |
| Note |
Includes index. |
| Subject |
TensorFlow.
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Computer vision.
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Neural networks (Computer science)
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OpenCV (Computer program language)
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Application software -- Development.
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Python (Computer program language)
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Image processing.
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Machine learning.
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Vision par ordinateur. |
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Réseaux neuronaux (Informatique) |
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OpenCV (Langage de programmation) |
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Logiciels d'application -- Développement. |
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Python (Langage de programmation) |
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Traitement d'images. |
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Apprentissage automatique. |
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image processing. |
| Other Form: |
Print version: 1484298659 9781484298657 (OCoLC)1395178030 |
| ISBN |
9781484298664 (electronic bk.) |
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1484298667 (electronic bk.) |
| Standard No. |
10.1007/978-1-4842-9866-4 doi |
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