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Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications

Detalles Bibliográficos
Autor principal: Tazehkandi, Amin Ahmadi
Lenguaje:eng
Publicado: Packt Publishing 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2303477
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author Tazehkandi, Amin Ahmadi
author_facet Tazehkandi, Amin Ahmadi
author_sort Tazehkandi, Amin Ahmadi
collection CERN
id cern-2303477
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Packt Publishing
record_format invenio
spelling cern-23034772021-04-21T18:54:58Zhttp://cds.cern.ch/record/2303477engTazehkandi, Amin AhmadiComputer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applicationsComputing and ComputersPackt Publishingoai:cds.cern.ch:23034772018
spellingShingle Computing and Computers
Tazehkandi, Amin Ahmadi
Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title_full Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title_fullStr Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title_full_unstemmed Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title_short Computer Vision with OpenCV 3 and Qt5: build visually appealing, multithreaded, cross-platform computer vision applications
title_sort computer vision with opencv 3 and qt5: build visually appealing, multithreaded, cross-platform computer vision applications
topic Computing and Computers
url http://cds.cern.ch/record/2303477
work_keys_str_mv AT tazehkandiaminahmadi computervisionwithopencv3andqt5buildvisuallyappealingmultithreadedcrossplatformcomputervisionapplications