Learning OpenCV 5 Computer Vision with Python. Tackle computer vision and machine learning with the newest tools, techniques and algorithms - Fourth Edition - Helion
Tytuł oryginału: Learning OpenCV 5 Computer Vision with Python. Tackle computer vision and machine learning with the newest tools, techniques and algorithms - Fourth Edition
ISBN: 9781803234250
Format: ebook
Księgarnia: Helion
Cena książki: 129,00 zł
Książka będzie dostępna od listopada 2024
Computer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 5 and Python 3.
You'll start by setting up OpenCV 5 with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying images, videos, and camera feeds. From taking you through image processing, video analysis, depth estimation, and segmentation, to helping you gain practice by building a GUI app, this book ensures you'll have opportunities for hands-on activities. You'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning, which will enable you to create and use object detectors and even track moving objects in real time. Later, you'll develop your skills in augmented reality and real-world 3D navigation. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age, and you'll deploy your solutions to the Cloud.
By the end of this book, you'll have the skills you need to execute real-world computer vision projects.
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Spis treści
Learning OpenCV 5 Computer Vision with Python. Tackle computer vision and machine learning with the newest tools, techniques and algorithms - Fourth Edition eBook -- spis treści
- 1. Setting Up OpenCV
- 2. Handling Files, Cameras, and GUIs
- 3. Processing Images with OpenCV
- 4. Depth Estimation and Segmentation
- 5. Detecting and Recognizing Faces
- 6. Retrieving Images and Searching Using Image Descriptors
- 7. Building Custom Object Detector
- 8. Tracking Objects
- 9. Camera Models and Augmented Reality
- 10. 3D Reconstruction and Navigation
- 11. NeuraNetworks with OpenCV - an Introduction
- 12. OpenCV Applications at Scale
- 13. Appendix A: Bending Color Space with the Curves Filter