Computer Vision for Beginners: Image Recognition and AI with OpenCV and Python - Tapa blanda

Sinopsis

Teach your computer to see and understand images—with code you can write today.

Computer Vision for Beginners is a hands-on guide to building image recognition and analysis projects using Python and OpenCV, the most widely used computer vision library. Designed for absolute beginners, this book walks you step-by-step through the basics of working with images, detecting objects, and building simple AI-powered tools.

No advanced math or machine learning background needed—just basic Python and curiosity.

In this book, you’ll learn how to:

• Read, display, and manipulate images using OpenCV

• Detect shapes, edges, faces, and colors in photos and video

• Build a basic object detection system

• Use contouring and masking for advanced image filtering

• Create a motion detection system with your webcam

• Apply image transformations, filters, and enhancements

• Recognize handwritten digits using machine learning

• Train custom classifiers with your own images

• Understand how computer vision powers real-world applications

Each chapter includes working code examples, visuals, and tips for experimenting with your own projects.

If you're interested in AI, image processing, or automation, Computer Vision for Beginners is your practical introduction to building tools that can “see” and interpret the world—using nothing but Python.

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