Visual Caf Programming Frontrunner
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Italy and its Discontents 1980-2001
In this long-awaited book (already a major bestseller in Italy) Ginsborg has created a fascinating, sophisticated and definitive account of how Italy has coped, or failed to cope, with the past two decades. Contemporary Italy strongly mirrors Britain - the countries have roughly the same extent, population size and GNP - and yet they are fantastically different. Ginsborg sees this difference as most fundamentally clear in the role of the family and it is the family which is at the heart of Italian politics and business. Anyone wishing to understand contemporary Italy will find it essential to have this enormously attractive and intelligent book.
Quality
Introduces quality management and methodology at an undergraduate level. Divided into five parts, it offers a comprehensive review of the subject and includes appendices of basic statistics.
Computer Vision Projects with OpenCV and Python 3
Author: Matthew Rever
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-12-28
Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key FeaturesImplement image classification and object detection using machine learning and deep learningPerform image classification, object detection, image segmentation, and other Computer Vision tasksCrisp content with a practical approach to solving real-world problems in Computer VisionBook Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learnInstall and run major Computer Vision packages within PythonApply powerful support vector machines for simple digit classificationUnderstand deep learning with TensorFlowBuild a deep learning classifier for general imagesUse LSTMs for automated image captioningRead text from real-world imagesExtract human pose data from imagesWho this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.