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👁️‍🗨️ Learning OpenCV 5 with Python – Master Computer Vision & ML with OpenCV (4th Edition, 2025)

🔍 By Joseph Howse & Joe Minichino | Published by Packt Publishing

📥 DOWNLOAD Free PDF NOW

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🚀 Harness the Power of Computer Vision with Python & OpenCV 5

Want to build AI that sees and understands the world?
“Learning OpenCV 5 with Python (4th Edition)” is your practical guide to developing cutting-edge computer vision applications using the newest features of OpenCV 5 — powered by Python.

Whether you're a developer, data scientist, or robotics enthusiast, this book will equip you with real-world skills to tackle everything from image processing to object detection, facial recognition, and machine learning pipelines.

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📘 What’s Inside the Book

🧠 Foundations of Computer Vision

• Install OpenCV 5 and configure your Python environment
• Work with images and videos: color spaces, filters, thresholding
• Manipulate pixels, histograms, contours, and ROI

🔍 Deep Dive into Modern CV Techniques

• Object tracking and motion detection
• Feature extraction: SIFT, SURF, ORB
• Real-time face detection with Haar cascades & DNNs
• Barcode, QR code, and license plate recognition

🤖 AI Meets Vision: ML + DL Integration

• Train classifiers with scikit-learn and OpenCV ML module
• Use OpenCV DNN module to run pre-trained deep learning models (YOLO, SSD)
• Integrate TensorFlow, ONNX, and PyTorch models into OpenCV pipelines
• Deploy models for real-time video inference on CPU and GPU

📷 Hands-On Projects

• Build a face recognition attendance system
• Create a gesture-controlled app
• Implement traffic sign detection for autonomous systems
• Develop a smart surveillance camera

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👨‍💻 Who Should Read This Book?

✅ Python developers diving into computer vision
✅ AI/ML engineers integrating vision into their pipelines
✅ Students and researchers in robotics or image processing
✅ Hobbyists building smart camera apps or Raspberry Pi projects
✅ Anyone preparing for jobs in computer vision, automation, or embedded AI

🧩 No PhD required — just Python skills and curiosity!

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📚 Why the 4th Edition Matters

✅ Updated for OpenCV 5 with modern tools and APIs
✅ Covers real-world ML & DL integration
✅ Includes new AI-powered features, e.g., deep learning-based detectors
✅ Reflects latest developments in vision-based AI applications

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🏆 Authors You Can Trust

• Joseph Howse – A seasoned developer and educator in OpenCV, AI, and robotics
• Joe Minichino – Expert in deep learning and Python-based computer vision systems

Together, they bring you code that works, and concepts you can understand — fast.

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📥 Download the Book and Build Smarter AI with Vision

📩 👉 CLICK TO DOWNLOAD “Learning OpenCV 5 with Python (4th Edition)” – FREE PDF

🎯 Turn your camera into a smart sensor. Bring computer vision to life using Python and OpenCV 5.

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📌 Computer Vision is no longer just for experts — with this book, it’s for you.

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