{"id":106297,"date":"2022-12-29T21:37:00","date_gmt":"2022-12-29T19:37:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-7"},"modified":"2022-12-29T21:37:00","modified_gmt":"2022-12-29T19:37:00","slug":"vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-7","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-7","title":{"rendered":"Udgivelsen af OpenCV 4.7 computervisionsbiblioteket","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Der frie OpenCV 4.7 (Open Source Computer Vision Library) er blevet udgivet, hvilket giver v\u00e6rkt\u00f8jer til behandling og analyse af billedindhold. OpenCV tilbyder mere end 2500 algoritmer, b\u00e5de klassiske og dem, der afspejler de nyeste fremskridt inden for computer vision og maskinl\u00e6ring. Bibliotekets kode er skrevet i C++ og distribueres under BSD-licens. Bindinger er tilg\u00e6ngelige for forskellige programmeringssprog, herunder Python, MATLAB og Java.    <\/p>\n<p>Biblioteket kan anvendes til genkendelse af objekter p\u00e5 billeder og videoer (for eksempel ansigts- og menneskefigurgenkendelse, tekst osv.), overv\u00e5gning af bev\u00e6gelse af objekter og kameraer, klassificering af handlinger i video, billedbehandling, udvinding af 3D-modeller, dannelse af 3D-rum fra billeder fra stereokameraer, skabelse af h\u00f8j kvalitet billeder ved at sammenflette billeder af lavere kvalitet, s\u00f8gning p\u00e5 billeder efter objekter, der ligner det pr\u00e6senterede s\u00e6t elementer, anvendelse af maskinl\u00e6ringsmetoder, placering af mark\u00f8rer, identifikation af f\u00e6lles elementer p\u00e5 forskellige billeder, automatisk reparation af defekter, s\u00e5som r\u00f8de \u00f8jne effekt.      <\/p>\n<p>Blandt \u00e6ndringerne i den nye udgave:  <\/p>\n<ul>\n<li class=\"l\"> Der er blevet foretaget betydelige optimeringer af ydeevnen ved konvolution i DNN (Deep Neural Network) modulet med implementering af maskinl\u00e6ringsalgoritmer baseret p\u00e5 neurale netv\u00e6rk. Algoritmen til hurtige Vinograd-konvolutioner er blevet implementeret. Nye ONNX (Open Neural Network Exchange) lag er tilf\u00f8jet: Scatter, ScatterND, Tile, ReduceL1 og ReduceMin. Support for OpenVino 2022.1-frameworket og CANN-backenden er blevet tilf\u00f8jet.\n<li class=\"l\"> Kvaliteten af QR-kodegenkendelse og dekodning er forbedret.\n<li class=\"l\"> Support for visuelle mark\u00f8rer ArUco og AprilTag er blevet tilf\u00f8jet.\n<li class=\"l\"> Nanotrack v2 tracker baseret p\u00e5 neurale netv\u00e6rk er blevet tilf\u00f8jet.\n<li class=\"l\"> Stackblur-blur-algoritmen er blevet implementeret.\n<li class=\"l\"> Support for FFmpeg 5.x og CUDA 12.0 er blevet tilf\u00f8jet.\n<li class=\"l\"> Et nyt API til manipulation af flersidede billedformater er blevet foresl\u00e5et.\n<li class=\"l\"> Support for libSPNG-biblioteket til PNG-formatet er blevet tilf\u00f8jet.\n<li class=\"l\"> Accelerationen ved hj\u00e6lp af SIMD-instruktioner er blevet aktiveret i libJPEG-Turbo.\n<li class=\"l\"> H264\/H265-support er blevet implementeret til Android-platformen.\n<li class=\"l\"> Alle grundl\u00e6ggende API'er til Python-sproget er blevet givet.\n<li class=\"l\"> En ny universel backend til vektorordrer er blevet tilf\u00f8jet.  <\/ul>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58405\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0440\u0435\u043b\u0438\u0437 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 OpenCV 4.7 (Open Source Computer Vision Library), \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0449\u0435\u0439 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 \u0434\u043b\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0433\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. OpenCV \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 2500 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432, \u043a\u0430\u043a \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0445, \u0442\u0430\u043a \u0438 \u043e\u0442\u0440\u0430\u0436\u0430\u044e\u0449\u0438\u0445 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0435 \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u0441\u0438\u0441\u0442\u0435\u043c \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u041a\u043e\u0434 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u0421++ \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 BSD. \u0411\u0438\u043d\u0434\u0438\u043d\u0433\u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u044b \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u044f\u0437\u044b\u043a\u043e\u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-106297","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0440\u0435\u043b\u0438\u0437 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