Description: Computer Vision Projects with OpenCV and Python 3 by Matthew Rever This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Gain a working knowledge of advanced machine learning and explore Pythons powerful tools for extracting data from images and videosKey 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 DescriptionPython 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. Youll 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 Googles 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 forPython 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. Author Biography Matthew Rever is an image processing and computer vision engineer at a major national laboratory. He has years of experience in automating the analysis of complex scientific data, as well as in controlling sophisticated instruments. He has applied computer vision technology to save a great many hours of valuable human labor. He is also enthusiastic about making the latest developments in computer vision accessible to developers of all backgrounds. Table of Contents Table of ContentsDownload & install Anaconda for your platform and Introduction to Tool Setup Image Captioning with TensorFlowReading license plates with Tesseract & OpenCVHuman pose estimation with TensorFlowHandwritten digit recognition with scikit-learn & TensorFlowFacial feature tracking and classification with dlibDeep learning image classification with TensorFlow Long Description Gain a working knowledge of advanced machine learning and explore Pythons powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer Vision Book 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. Youll 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 Googles 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 learn Install and run major Computer Vision packages within Python Apply powerful support vector machines for simple digit classification Understand deep learning with TensorFlow Build a deep learning classifier for general images Use LSTMs for automated image captioning Read text from real-world images Extract human pose data from images Who 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. Details ISBN178995455X Author Matthew Rever Pages 182 Publisher Packt Publishing Limited Year 2018 ISBN-10 178995455X ISBN-13 9781789954555 Publication Date 2018-12-28 Short Title Computer Vision Projects with OpenCV and Python 3 Language English Format Paperback UK Release Date 2018-12-28 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2018-12-28 NZ Release Date 2018-12-28 Subtitle Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow DEWEY 006.37 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:130807411;
Price: 73.79 AUD
Location: Melbourne
End Time: 2024-12-05T03:13:25.000Z
Shipping Cost: 12.4 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9781789954555
Book Title: Computer Vision Projects with OpenCV and Python 3
Item Height: 93 mm
Item Width: 75 mm
Author: Matthew Rever
Publication Name: Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
Format: Paperback
Language: English
Publisher: Packt Publishing Limited
Subject: Technology, Computer Science
Publication Year: 2018
Type: Textbook
Number of Pages: 182 Pages
