Key FeaturesLearn how to build a full-fledged image processing application using free tools and librariesPerform basic to advanced image and video stream processing with OpenCVs Python APIsUnderstand and optimize various features of OpenCV with the help of easy-to-grasp examplesBook DescriptionThis book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithms.The book aims to equip readers to build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we will look at in the book are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.What you will learnWorking with open source libraries such Pillow, Scikit-image, and OpenCVWriting programs such as edge detection, color processing, image feature extraction, and moreImplementing feature detection algorithms like LBP and ORBTracking objects using an external camera or a video fileOptical Character Recognition using Machine Learning.Understanding Convolutional Neural Networks to learn patterns in imagesLeveraging Cloud Infrastructure to provide Computer Vision as a ServiceAbout the AuthorSaurabh Kapur is a computer science student at Indraprastha Institute of Information Technology, Delhi.His interests are in computer vision, numerical analysis, and algorithm design. He often spends time solving competitive programming questions. Saurabh also enjoys working on IoT applications and tinkering with hardware.He likes to spend his free time playing or watching cricket. He can be reached at saurabhkapur96@gmail.com.Table of ContentsIntroduction to Image ProcessingFilters and FeaturesDrilling Deeper into features- detecting objectsSegmentation – Understanding Images BetterIntegrating Machine Learning with Computer VisionImage Classification using Neural NetworksIntroduction to Computer Vision using OpenCV Object Detection using OpenCVVideo Processing using open CVComputer Vision as a Service