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Practical Computer Vision with Python: Step-by-Step Guide with OpenCV, Image Processing, and Deep Learning
Unlock the power of Computer Vision with Python and OpenCV through a fully hands-on, project-based approach. Whether you’re a beginner eager to explore image processing or a developer aiming to build real-world AI applications, this book guides you step by step from fundamentals to advanced projects.
Inside, you’ll master essential concepts of image representation, color spaces, transformations, video processing, object detection, and deep learning for vision. Each chapter includes practical projects so you can immediately apply what you’ve learned and showcase your skills in a portfolio.
What You’ll
An Image Editor with filters and transformations
A Sketch & Cartoonify App using OpenCV
Real-Time Video Filters for live camera feeds
A Face Detection System with Haar cascades and feature detection
A Smart Document Scanner with perspective transform
A Ball Tracking Project using motion tracking techniques
An Image Classifier with CNNs and Transfer Learning
A Real-Time Object Detection System with YOLO/SSD
A Capstone Mini Computer Vision System integrating everything you’ve learned
By the end of this book, you will not only understand the theory behind computer vision, image processing, and deep learning models, but also have the confidence to design, implement, and deploy complete AI-driven applications.
Perfect for students, researchers, and professionals in Python, AI, and Machine Learning — this book helps you go beyond theory and gain practical, portfolio-ready experience.
If you’re ready to learn computer vision with Python and build real applications that matter, start your journey today.
Inside, you’ll master essential concepts of image representation, color spaces, transformations, video processing, object detection, and deep learning for vision. Each chapter includes practical projects so you can immediately apply what you’ve learned and showcase your skills in a portfolio.
What You’ll
An Image Editor with filters and transformations
A Sketch & Cartoonify App using OpenCV
Real-Time Video Filters for live camera feeds
A Face Detection System with Haar cascades and feature detection
A Smart Document Scanner with perspective transform
A Ball Tracking Project using motion tracking techniques
An Image Classifier with CNNs and Transfer Learning
A Real-Time Object Detection System with YOLO/SSD
A Capstone Mini Computer Vision System integrating everything you’ve learned
By the end of this book, you will not only understand the theory behind computer vision, image processing, and deep learning models, but also have the confidence to design, implement, and deploy complete AI-driven applications.
Perfect for students, researchers, and professionals in Python, AI, and Machine Learning — this book helps you go beyond theory and gain practical, portfolio-ready experience.
If you’re ready to learn computer vision with Python and build real applications that matter, start your journey today.
152 pages, Kindle Edition
Published October 3, 2025
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