Paramètres
- 266pages
- 10 heures de lecture
En savoir plus sur le livre
Create impressive applications with OpenCV and Python while familiarizing yourself with advanced machine learning concepts. This guide is designed for both novices and veterans of OpenCV, serving as a reference for experts and a training manual for beginners. It aims to simplify the concepts of object classification and detection, requiring only basic knowledge of Python and programming. You will learn to install and navigate OpenCV 3's Python API, grasp the fundamentals of image processing and video analysis, and identify and recognize objects in images and videos. The book covers face detection and recognition, training your own object classifiers, and exploring machine learning within a computer vision context. You'll work with artificial neural networks and develop real-life computer vision applications. The content takes you from foundational theories in image processing to advanced classification concepts through machine learning. You will acquire the technical know-how to create and utilize object detectors and classifiers, track objects in videos, and even develop a hand-written digit recognition application. This comprehensive approach ensures a smooth learning curve, making complex topics accessible and engaging.
Achat du livre
Learning Opencv 3 Computer Vision with Python, Joseph Howse, Joe Minichino
- Langue
- Année de publication
- 2015
- Reliure
- (souple)
Modes de paiement
Personne n'a encore évalué .
- Titre
- Learning Opencv 3 Computer Vision with Python
- Sous-titre
- Unleash the Power of Computer Vision with Python Using OpenCV
- Langue
- Anglais
- Auteurs
- Joseph Howse, Joe Minichino
- Éditeur
- Packt Publishing
- Publié
- 2015
- Format
- souple
- Pages
- 266
- ISBN10
- 1785283847
- ISBN13
- 9781785283840
- Séries
- Description
- Create impressive applications with OpenCV and Python while familiarizing yourself with advanced machine learning concepts. This guide is designed for both novices and veterans of OpenCV, serving as a reference for experts and a training manual for beginners. It aims to simplify the concepts of object classification and detection, requiring only basic knowledge of Python and programming. You will learn to install and navigate OpenCV 3's Python API, grasp the fundamentals of image processing and video analysis, and identify and recognize objects in images and videos. The book covers face detection and recognition, training your own object classifiers, and exploring machine learning within a computer vision context. You'll work with artificial neural networks and develop real-life computer vision applications. The content takes you from foundational theories in image processing to advanced classification concepts through machine learning. You will acquire the technical know-how to create and utilize object detectors and classifiers, track objects in videos, and even develop a hand-written digit recognition application. This comprehensive approach ensures a smooth learning curve, making complex topics accessible and engaging.