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Learning OpenCV 5 Computer Vision for Developers

   Author: creativelivenew1   |   09 October 2026   |   Comments icon: 0


Learning OpenCV 5 Computer Vision for Developers: Build Real-World Image Processing, Detection, and AI Vision Systems That Ship Fast by Avis Gabe
English | December 12, 2025 | ISBN: N/A | ASIN: B0G6M59VMJ | 374 pages | EPUB | 0.81 Mb
Learning OpenCV 5 Computer Vision for Developers


Build Real-World Image Processing, Detection, and AI Vision Systems That Ship Fast
You already know how to load an image. But can you build a computer vision system that survives bad lighting, runs in real time, scales across hardware, and actually ships? That's the gap most developers hit-and exactly where this book begins.
Learning OpenCV 5 Computer Vision for Developers is written for engineers who want to move past experiments and into production. It shows you how modern computer vision systems are built today using OpenCV 5, deep learning models, real-time pipelines, and performance-aware design. This book treats computer vision as engineering, not theory.
Instead of abstract explanations, you'll work through proven workflows used in surveillance, automotive systems, document processing, retail analytics, industrial inspection, and edge AI. Every chapter focuses on building reliable pipelines-from camera input and preprocessing to inference, optimization, deployment, and long-term maintenance. OpenCV 5's updated APIs, DNN module, ONNX support, and hardware acceleration features are used the way professionals actually use them.
By the end of this book, you will be able to:Design complete computer vision pipelines that handle real-world variabilityUse OpenCV 5 effectively for image processing, video analytics, and AI inferenceDeploy deep learning models with confidence using ONNX and OpenCV DNNBuild real-time detection, tracking, segmentation, and OCR systemsOptimize frame rate, memory usage, and latency across CPU, GPU, and edge devicesDebug, test, and harden vision systems for production environmentsPackage and deploy computer vision applications as APIs, desktop apps, and edge servicesCreate portfolio-ready end-to-end projects that demonstrate real engineering skillThis book speaks directly to developers who want practical results, clean structure, and systems that last. If you're serious about building computer vision applications that perform under pressure and deliver real value, this book gives you the tools, patterns, and confidence to do exactly that.


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