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Название: Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python
Автор: Mugesh S.
Издательство: Orange Education Pvt Ltd, AVA
Год: August 2023
Страниц: 355
Язык: английский
Формат: pdf, epub (true)
Размер: 13.3 MB
Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in Machine Learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like Deep Learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python.
Автор: Mugesh S.
Издательство: Orange Education Pvt Ltd, AVA
Год: August 2023
Страниц: 355
Язык: английский
Формат: pdf, epub (true)
Размер: 13.3 MB
Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in Machine Learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like Deep Learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python.