The Practical Vision
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Practical Machine Learning For Computer Vision
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-07-21
Practical Machine Learning For Computer Vision written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Computers categories.
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
Practical Computer Vision
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Author : Abhinav Dadhich
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-05
Practical Computer Vision written by Abhinav Dadhich and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Computers categories.
A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Book Description In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. What you will learn Learn the basics of image manipulation with OpenCV Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST Understand image transformation and downsampling with practical implementations. Explore neural networks for computer vision and convolutional neural networks using Keras Understand working on deep-learning-based object detection such as Faster-R-CNN, SSD, and more Explore deep-learning-based object tracking in action Understand Visual SLAM techniques such as ORB-SLAM Who this book is for This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Practical Computer Vision With Simplecv
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Author : Kurt Demaagd
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012
Practical Computer Vision With Simplecv written by Kurt Demaagd and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional. Capture images from several sources, including webcams, smartphones, and Kinect Filter image input so your application processes only necessary information Manipulate images by performing basic arithmetic on pixel values Use feature detection techniques to focus on interesting parts of an image Work with several features in a single image, using the NumPy and SciPy Python libraries Learn about optical flow to identify objects that change between two image frames Use SimpleCV's command line and code editor to run examples and test techniques
Normal Binocular Vision
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Author : David Stidwill
language : en
Publisher: John Wiley & Sons
Release Date : 2017-09-25
Normal Binocular Vision written by David Stidwill and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Health & Fitness categories.
Binocular vision, i.e. where both eyes are used together, is a fundamental component of human sight. It also aids hand-eye co-ordination, and the perception of the self within the environment. Clinical anomalies pose a wide range of problems to the sufferer, but normal binocular operation must first be understood before the eye specialist can assess and treat dysfunctions. This is a major new textbook for students of optometry, orthoptics and ophthalmology, and also of psychology. Chapters span such key topics as binocular summation, fusion, the normal horopter, anatomy of the extra-ocular muscles, oculomotor control, binocular integration and depth perception. Fully illustrated throughout, the book includes self-assessment exercises at the end of each chapter, and sample experiments in binocular vision functioning.
Practical Computer Vision Applications Using Deep Learning With Cnns
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Author : Ahmed Fawzy Gad
language : en
Publisher: Apress
Release Date : 2018-12-05
Practical Computer Vision Applications Using Deep Learning With Cnns written by Ahmed Fawzy Gad and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Computers categories.
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using Python Follow a deep learning project from conception to production using TensorFlow Use NumPy with Kivy to build cross-platform data science applications Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.
Practical Computer Vision Using C
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Author : J. R. Parker
language : en
Publisher: Wiley
Release Date : 1993-11-11
Practical Computer Vision Using C written by J. R. Parker and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-11-11 with Computers categories.
A straightforward, practical examination of the fundamentals of computer vision using a minimum of mathematics. Concentrates on explanation, illustration, implementation and the various types of vision imaging problems including grey-level images, recognizing objects, computer readable codes, scientific images, etc. Contains authentic examples in C from a variety of disciplines as well as immediate access to images with which users can test ideas and software.
Virginia Woolf
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Author : Lorraine Sim
language : en
Publisher: Routledge
Release Date : 2016-02-11
Virginia Woolf written by Lorraine Sim and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-11 with Literary Criticism categories.
In her timely contribution to revisionist approaches in modernist studies, Lorraine Sim offers a reading of Virginia Woolf's conception of ordinary experience as revealed in her fiction and nonfiction. Contending that Woolf's representations of everyday life both acknowledge and provide a challenge to characterizations of daily life as mundane, Sim shows how Woolf explores the potential of everyday experience as a site of personal meaning, social understanding, and ethical value. Sim's argument develops through readings of Woolf's literary representations of a subject's engagement with ordinary things like a mark on the wall, a table, or colour; Woolf's accounts of experiences that are both common and extraordinary such as physical pain or epiphanic 'moments of being'; and Woolf's analysis of the effect of new technologies, for example, motor-cars and the cinema, on contemporary understandings of the external world. Throughout, Sim places Woolf's views in the context of the philosophical and lay accounts of ordinary experience that dominated the cultural thought of her time. These include British Empiricism, Romanticism, Platonic thought and Post-Impressionism. In addition to drawing on the major novels, particularly The Voyage Out, Mrs. Dalloway, and To the Lighthouse, Sim focuses close attention on short stories such as 'The Mark on the Wall', 'Solid Objects', and 'Blue & Green'; nonfiction works, including 'On Being Ill', 'Evening over Sussex: Reflections in a Motor-car', and 'A Sketch of the Past'; and Woolf's diaries. Sim concludes with an account of Woolf's ontology of the ordinary, which illuminates the role of the everyday in Woolf's ethics.
Build A Better Vision Statement
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Author : Shelley A. Kirkpatrick
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2016-07-13
Build A Better Vision Statement written by Shelley A. Kirkpatrick and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-13 with Business & Economics categories.
Build a Better Vision Statement summarizes scientific research, along with advice from thirty entrepreneurs and CEOs of well-known and award winning companies, on how to write, communicate, and implement an effective vision statement. This book contains dozens of company vision statements along with stories from entrepreneurs and CEOs describing how and why they created their vision statements. Several decades of studies have demonstrated the profound impact that a vision statement can have on a company’s performance and growth, but only if the vision statement reflects certain characteristics. Build a Better Vision Statement presents proven principles for writing a motivational vision statement and offers guidance to company leaders about when and how to write a vision statement. Build a Better Vision Statement is a must-have for any business leader or entrepreneur looking for a low-cost, high-impact, proven approach for growing their business.
The Practical Management Of Visual Impairment
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Author : Jane Macnaughton
language : en
Publisher:
Release Date : 2018
The Practical Management Of Visual Impairment written by Jane Macnaughton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Low vision categories.
Borderless Business
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Author : Clarence J. Mann
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2006-06-30
Borderless Business written by Clarence J. Mann and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-30 with Business & Economics categories.
From extending successful brands into exotic new markets to tapping talent in virtual teams to building ultra-complex supplier and distributor networks, today's executives and managers must consider the international implications of every decision they make. Certainly, globalization has its detractors, but for business leaders, the issue is not to debate the merits of globalization but to learn how to thrive in the global marketplace. In Borderless Business the authors tackle every major dimension of business-from marketing to human resource management to supply chains to accounting and finance-and demonstrate how they play out in a global context. Each chapter describes the new skills and competencies that managers must master in order to lead their companies in this environment. Featuring current data and dozens of case examples and applications from around the world, Borderless Business will serve as a practical handbook for executives and managers and an indispensable text for students of international business. From extending successful brands into exotic new markets to tapping talent in virtual teams to building ultra-complex supplier and distributor networks, today's executives and managers must consider the international implications of every decision they make. To put the magnitude of global business in context, consider that between 1820 and 1992 world population increased 5-fold, world income 40-fold, and world trade 540-fold. And in the past decade, the pace of change has only accelerated, with the Internet, for example, making connections instantaneous and ubiquitous-and global aspirations attainable for even the smallest of enterprises. Certainly, globalization has its detractors, but for today's business leaders, the issue is not to debate the merits of globalization but to learn how to thrive in the global marketplace. In Borderless Business the authors tackle every major dimension of globalization -from marketing to human resource management to supply chains to accounting and finance-and demonstrate how these issues play out in a global context. Each chapter describes the new skills and competencies that managers must master in order to lead their companies in this environment, where every management challenge is amplified. Featuring current data and dozens of case examples and applications from around the world, Borderless Business will serve as a practical handbook for executives and managers and as an indispensable text for students of international business.