OpenCV 3.x with Python By Example - Second Edition (notice n° 70284)
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fixed length control field | 03838cam a2200289zu 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | FRCYB88856669 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250107230122.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250108s2018 fr | o|||||0|0|||eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781788396905 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | FRCYB88856669 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | FR-PaCSA |
Language of cataloging | en |
Transcribing agency | |
Description conventions | rda |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Garrido, Gabriel |
245 01 - TITLE STATEMENT | |
Title | OpenCV 3.x with Python By Example - Second Edition |
Statement of responsibility, etc. | ['Garrido, Gabriel', 'Joshi, Prateek'] |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Name of producer, publisher, distributor, manufacturer | Packt Publishing |
Date of production, publication, distribution, manufacture, or copyright notice | 2018 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | p. |
336 ## - CONTENT TYPE | |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type code | c |
Source | rdamdedia |
338 ## - CARRIER TYPE | |
Carrier type code | c |
Source | rdacarrier |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.About This BookLearn how to apply complex visual effects to images with OpenCV 3.x and PythonExtract features from an image and use them to develop advanced applicationsBuild algorithms to help you understand image content and perform visual searchesGet to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented realityWho This Book Is ForThis book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.What You Will LearnDetect shapes and edges from images and videosHow to apply filters on images and videosUse different techniques to manipulate and improve imagesExtract and manipulate particular parts of images and videosTrack objects or colors from videosRecognize specific object or faces from images and videosHow to create Augmented Reality applicationsApply artificial neural networks and machine learning to improve object recognitionIn DetailComputer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease.We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples.This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.Style and approachThe book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Garrido, Gabriel |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Joshi, Prateek |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Access method | Cyberlibris |
Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88856669">https://international.scholarvox.com/netsen/book/88856669</a> |
Electronic format type | text/html |
Host name |
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