Название: Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning 2nd EditionАвтор: James Chen
Издательство: Independently published
Год: 2023
Страниц: 316
Язык: английский
Формат: epub (true)
Размер: 35.4 MB
This book is a comprehensive guide to learning the basics of computer vision and Machine Learning using the powerful OpenCV library and the Python programming language. The book offers a practical, hands-on approach to learning the concepts and techniques of computer vision through practical examples. All codes in this book are available on Github.
Through a series of examples, the book covers a wide range of topics including image and video processing, feature detection, object detection and recognition, machine learning, and deep neural networks. Each chapter includes detailed explanations of the concepts and techniques involved, as well as practical examples and code snippets that demonstrate how to implement them in Python. Throughout the book, readers will work through hands-on examples and projects, learning how to build image-processing applications from scratch.
Whether you are a beginner or an experienced programmer, this book provides a valuable resource for learning computer vision with OpenCV and Python. The clear and concise writing style makes it easy for readers to follow along, and the numerous examples ensure that readers can practice and apply what they have learned. By the end of the book, readers will have a solid understanding of the fundamentals of computer vision and be able to build their own computer vision applications with confidence. This book is an excellent resource for anyone looking to learn computer vision and machine learning using the OpenCV library and Python programming language.
In recent years, the field of Computer Vision has experienced a rapid growth and has become an essential part of many industries. The ability to extract meaningful information from images and videos has led to the development of innovative applications in various fields, including robotics, autonomous vehicles, medical imaging, security, and many others. Computer Vision is a field of study that aims to enable machines to interpret and understand the visual world around us. It has become increasingly relevant in recent years, as we continue to develop more intelligent systems that can analyze and make sense of the vast amounts of visual data that we generate every day. OpenCV is one of the most popular open-source libraries for Computer Vision and Image Processing, providing a wide range of algorithms for tasks such as image and video processing, object detection and recognition, feature extraction, and more.
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