Learning OpenCV 4 Computer Vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning
Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code. Key Features: Build powerful computer vision applications in concise code with OpenCV...
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Other Authors: | |
Format: | eBook |
Language: | Inglés |
Published: |
Birmingham :
Packt
[2020]
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Edition: | Third edition |
Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631624706719 |
Table of Contents:
- Chapter 1: Setting Up OpenCV
- Chapter 2: Handling Files, Cameras, and GUIs
- Chapter 3: Processing Images with OpenCV
- Chapter 4: Depth Estimation and Segmentation
- Chapter 5: Detecting and Recognizing Faces
- Chapter 6: Retrieving Images and Searching Using Image Descriptors
- Chapter 7: Building Custom Object Detectors
- Chapter 8: Tracking Objects
- Chapter 9: Camera Models and Augmented Reality
- Chapter 10: Neural Networks with OpenCV
- Appendix 1: Bending Color Space with a Curves Filter
- Other Books You May Enjoy
- Index.