دانلود کتاب شبکه عصبی بینایی کامپیوتر با OpenCV 5

Welcome to your essential guide to unraveling the complexities of image processing. Whether you are a seasoned developer or a beginner exploring the world of Computer Vision, this book offers a comprehensive journey from the roots of Computer Vision to practical implementation. It goes beyond theory, offering professionals a practical roadmap for integrating Computer Vision into their projects. With detailed discussions, hands-on code examples, and a focus on applications such as face detection and object recognition, this guide is tailored for those aiming to excel in the dynamic landscape of computer vision applications. Whether you are in machine learning, automation, or image analysis, this book equips you with the skills to revolutionize your approach to visual data. Each chapter provides practical insights and examples, fostering innovation and excellence in your endeavors. Stay ahead of the curve with “Computer Vision using OpenCV DNN”. Chapter 1: Introduction to Computer Vision – traces the historical roots and the fundamental concepts that underpin Computer Vision. Chapter 2: Basics of Imaging – dives into the essentials of imaging, laying the foundation for understanding image processing techniques. Chapter 3: Challenges in Computer Vision – Explores the challenges and complexities encountered in real-world Computer Vision applications. Chapter 4: Classical Solutions – delves into classical solutions, gaining insights into traditional approaches to image processing. Chapter 5: Deep Learning and CNNs – Uncovers the power of deep learning and Convolutional Neural Networks (CNNs) in the context of Computer Vision. Chapter 6: OpenCV DNN Module – Navigates the OpenCV DNN module, mastering its functionalities for efficient deep learning-based image processing. Chapter 7: Modern Solutions for Image Classification – Elevates your skills by implementing modern solutions for image classification using Python and OpenCV. Chapter 8: Modern Solutions for Object Detection – Discusses cutting- edge techniques for object detection, enhancing your ability to identify and locate objects in images. Chapter 9: Faces and Text – Delves into the fascinating realms of face detection and recognition, along with optical character recognition. Chapter 10: Running the Code – Gives detailed instructions on how to setup the runtime environments needed to run the code provided in the book. Chapter 11: End-to-end Demo – Concludes your journey with an end-to- end demonstration, bringing together the concepts learned throughout the book.