Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection, and Machine Learning = Introduction Computer vision is a field of study that focuses on enabling computers to interpret and understand visual information from the world around them. It involves the development of algorithms and techniques to process and analyze visual data, such as images and videos, and has numerous applications in various industries, including healthcare, security, transportation, and entertainment. OpenCV is an open-source computer vision library that provides a wide range of functions for image and video processing, feature detection, object recognition, and machine learning. Python is a popular programming language that is widely used in computer vision and machine learning due to its simplicity and flexibility. This book provides a comprehensive guide to learning the basics of computer vision and machine learning using the powerful OpenCV library and the Python programming language. Target Audience This book is designed for beginners and experienced programmers who want to learn computer vision and machine learning concepts and techniques using OpenCV and Python. The book assumes no prior knowledge of computer vision or machine learning, and readers will learn the fundamentals of these fields through practical examples and projects. 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. Source Codes for This Book All codes in this book are available on Github at [insert link].

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