Advanced Image Processing with Python by Greyson Chesterfield (.ePUB)+

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Advanced Image Processing with Python and OpenCV: Implementing High-Performance Computer Vision Solutions for Object Detection, Image Recognition, and Augmented Reality Applications by Greyson Chesterfield
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Overview: Unlock the full potential of Python and OpenCV with Advanced Image Processing with Python and OpenCV. This comprehensive guide delves into high-performance computer vision techniques that power today’s cutting-edge technologies, including object detection, image recognition, and augmented reality. Designed for both beginners and seasoned developers, this book provides step-by-step guidance through complex topics, from setting up your environment to advanced image processing techniques. Whether you’re creating robust applications for healthcare, autonomous vehicles, or dynamic media, you’ll find the techniques and code examples to bring your projects to life. With clear explanations and hands-on exercises, you’ll gain practical skills in image filtering, geometric transformations, feature extraction, deep learning-based segmentation, and much more. Equip yourself with the knowledge to solve real-world challenges and advance in the rapidly growing field of computer vision. Computer vision is a subfield of Artificial Intelligence (AI) that focuses on enabling machines to interpret and understand visual information from the world. It aims to replicate human vision capabilities, allowing computers to process and analyze images or video streams to derive meaningful information. The significance of computer vision is highlighted by its ability to automate tasks that require visual understanding. Python, a versatile and user-friendly programming language, has gained immense popularity in the field of computer vision due to its simplicity and readability. The combination of OpenCV and Python allows developers to implement complex image processing tasks with minimal code, making it an ideal choice for both beginners and experienced practitioners.
Genre: Non-Fiction > Tech & Devices

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