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Computer Vision: The Basics
This comprehensive introduction to computer vision is designed for newcomers eager to dive into this fascinating field. Whether you're a student, hobbyist, or aspiring data scientist, this book will equip you with the fundamental knowledge and practical skills needed to harness the capabilities of computer vision.
Focusing on the basics, the book demystifies core concepts such as image processing, feature detection, and object recognition. You'll explore how computers interpret and analyze visual information, transforming pixels into meaningful insights. Each chapter builds on the last, gradually introducing more complex topics and ensuring a solid understanding of the essentials.
Python, the versatile and beginner-friendly programming language, serves as the backbone of this journey. At a high-level, you'll learn about implementations of computer vision techniques using popular Python libraries like OpenCV, PIL, and TensorFlow. Real-world applications are also referenced to give the reader a well-rounded perspective on this fascinating and relevant subject matter.
Focusing on the basics, the book demystifies core concepts such as image processing, feature detection, and object recognition. You'll explore how computers interpret and analyze visual information, transforming pixels into meaningful insights. Each chapter builds on the last, gradually introducing more complex topics and ensuring a solid understanding of the essentials.
Python, the versatile and beginner-friendly programming language, serves as the backbone of this journey. At a high-level, you'll learn about implementations of computer vision techniques using popular Python libraries like OpenCV, PIL, and TensorFlow. Real-world applications are also referenced to give the reader a well-rounded perspective on this fascinating and relevant subject matter.
205 pages, Paperback
Published June 28, 2024
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