Artículo: AMZ-B0G86TQ2VN

OpenCV 4 Essentials: A step by step guide for Feature Detection, Segmentation, and Recognition

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Sin stock
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0.84 kg
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No
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Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • Have you ever wondered how machines actually see the world? How does a system detect faces in a crowd, track objects in motion, or separate meaningful elements from a complex scene? And more importantly—how can you build these systems yourself without getting lost in theory or black-box code?OpenCV 4 Essentials is designed to answer those questions clearly and practically.This book walks you through the core foundations of computer vision using OpenCV 4, focusing on how and why things work, not just how to run code. You’ll explore essential topics such as image processing, feature detection, segmentation, and object recognition, while constantly asking the right engineering questions:How does an algorithm decide where to look in an image?How can objects be separated reliably under real-world conditions?What makes a vision pipeline fast, accurate, and robust?How do you move from experimentation to production-ready solutions?Rather than overwhelming you with abstract math, this book emphasizes hands-on workflows and real-world reasoning used by engineers and researchers. Each concept builds on the last, helping you develop not just technical skills, but the mindset of a computer vision practitioner.By the time you finish, you won’t just know OpenCV—you’ll understand how to design, evaluate, and improve computer vision systems with confidence. Whether you’re working on automation, robotics, research, or applied AI projects, this book gives you the foundation you need to move forward with clarity.Are you ready to stop wondering how computer vision works—and start building systems that see, analyze, and understand?Start reading today and take your first confident step into mastering OpenCV 4. And if this book helps you grow, come back and leave a review—your feedback helps others begin their computer vision journey with confidence.

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