Building Computer Vision Applications Using Artificial Neural Networks With Examples in OpenCV and TensorFlow with Python
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, i...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2023.
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| Edición: | 2nd ed. 2023. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786701006719 |
Tabla de Contenidos:
- 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.
