Description
Mastering OpenCV 4 with Python. The OpenCV library is one of the best and most open-source software tools in the field of machine vision and machine learning. This library helps developers create complete projects in the field of image processing, motion detection, and image segmentation. The Python version of OpenCV enables machine vision algorithms to run smoothly and in real time, and combines the benefits of the C++ programming interface with Python.
This book begins by setting up OpenCV and reviewing the fundamental concepts of machine vision. It then moves on to more advanced concepts and explores the broad scope of OpenCV. The book gradually introduces the reader to the process of building advanced applications with Python and OpenCV, enabling the development of applications such as face recognition, subject tracking, and augmented reality. It then explains the principles and techniques of machine learning, their practical applications, and the benefits such as real-time data generation and faster information processing.
As the material progresses, it teaches how to convert OpenCV capabilities into optimized code using Python bindings. The final chapters also explore topics related to artificial intelligence and deep learning techniques using the popular libraries TensorFlow and Cross. Finally, the reader will gain the necessary ability to confidently implement advanced machine vision applications tailored to different needs.
Book Features
- Develop machine vision skills by mastering OpenCV4 algorithms and the Python language
- Applying machine learning and deep learning techniques using TensorFlow and Cross
- Understanding modern design patterns to avoid when developing efficient machine vision applications
- Building advanced applications including facial recognition, target tracking, and augmented reality
- Learn how to optimize application code using Python and OpenCV capabilities
Book specifications
- Publisher: Packt
- Instructor / Author: Alberto Fernández Villan
- Number of pages: 517
- Number of chapters: 13
- Format: PDF
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