{"id":54815,"date":"2020-01-05T00:00:00","date_gmt":"2020-01-04T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-2"},"modified":"2020-02-18T14:02:52","modified_gmt":"2020-02-18T11:02:52","slug":"vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-2","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-2","title":{"rendered":"Utgivningen av biblioteket f\u00f6r datorseende OpenCV 4.2","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/opencv.org\/opencv-4-2-0\/\">H\u00e4ndelse genomf\u00f6rd<\/a><\/noindex> release av det fria biblioteket <noindex><a rel=\"nofollow\" href=\"http:\/\/opencv.org\/\">OpenCV 4.2<\/a><\/noindex> (Open Source Computer Vision Library), som erbjuder verktyg f\u00f6r behandling och analys av bildinneh\u00e5ll. OpenCV tillhandah\u00e5ller mer \u00e4n 2500 algoritmer, b\u00e5de klassiska och som \u00e5terspeglar de senaste framstegen inom datorseende och maskininl\u00e4rningssystem. Koden f\u00f6r biblioteket \u00e4r skriven i C++ och <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/\">sprids<\/a><\/noindex> under BSD-licensen. Bindningar har f\u00f6rberetts f\u00f6r olika programmeringsspr\u00e5k, inklusive Python, MATLAB och Java.<\/p>\n<p>Biblioteket kan anv\u00e4ndas f\u00f6r objektigenk\u00e4nning p\u00e5 foton och videor (till exempel ansikts- och figurerigenk\u00e4nning, text osv.), sp\u00e5rning av objekt och kameror, klassificering av handlingar i videor, bildtransformering, 3D-modellutvinning, skapande av 3D-utrymmen fr\u00e5n bilder fr\u00e5n stereokameror, skapande av h\u00f6gkvalitativa bilder genom sammanfogning av l\u00e4gre kvalitetsbilder, s\u00f6kning i bilder efter objekt som liknar en given upps\u00e4ttning element, till\u00e4mpa metoder f\u00f6r maskininl\u00e4rning, placering av mark\u00f6rer, identifiering av gemensamma element p\u00e5 olika bilder, automatisk eliminering av defekter, s\u00e5som r\u00f6da \u00f6gon.<\/p>\n<p>I <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/wiki\/ChangeLog#version420\">ny<\/a><\/noindex> <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/releases\/tag\/4.2.0\">utg\u00e5va<\/a><\/noindex>:<\/p>\n<ul>\n<li class=\"l\"> I modulen DNN (Deep Neural Network) med implementation av algoritmer f\u00f6r maskininl\u00e4rning baserade p\u00e5 neurala n\u00e4tverk har en backend lagts till f\u00f6r att anv\u00e4nda CUDA och experimentellt st\u00f6ds API <noindex><a rel=\"nofollow\" href=\"http:\/\/docs.openvinotoolkit.org\/\">nGraph OpenVINO<\/a><\/noindex>;\n<li class=\"l\"> Med anv\u00e4ndning av SIMD-instruktioner har prestandaoptimering av koden f\u00f6r stereovisning (StereoBM\/StereoSGBM), \u00e4ndring av storlek, maskoverlay, rotation, ber\u00e4kning av saknade f\u00e4rgkomponenter och m\u00e5nga andra operationer genomf\u00f6rts;\n<li class=\"l\"> En flertr\u00e5dig implementation av funktionen <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.opencv.org\/3.4\/d4\/d86\/group__imgproc__filter.html#gaf9bba239dfca11654cb7f50f889fc2ff\">pyrDown<\/a><\/noindex>;\n<li class=\"l\"> M\u00f6jligheten att extrahera videostr\u00f6mmar fr\u00e5n mediek\u00e4rl (demuxing) har lagts till genom backend videoio baserat p\u00e5 FFmpeg;\n<li class=\"l\"> En algoritm f\u00f6r snabb frekvensselektiv rekonstruktion av skadade bilder har lagts till <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.opencv.org\/4.2.0\/dc\/d2f\/tutorial_xphoto_inpainting.html\">FSR<\/a><\/noindex> (Frekvens Selektiv Rekonstruktion);\n<li class=\"l\"> Metod tillagd <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv_contrib\/pull\/2367\">RIC<\/a><\/noindex> f\u00f6r interpolation av typiska ofyllda omr\u00e5den;\n<li class=\"l\"> En metod f\u00f6r normalisering av avvikelser har lagts till <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/short-circuitt\/LOGOS\">LOGOS<\/a><\/noindex>;\n<li class=\"l\"> I modulen G-API (opencv_gapi), som fungerar som en motor f\u00f6r effektiv bildbehandling med algoritmer baserade p\u00e5 grafer, har st\u00f6d f\u00f6r mer komplexa hybridalgoritmer inom datorseende och djupmaskininl\u00e4rning implementerats. St\u00f6d f\u00f6r backend Intel Inference Engine har s\u00e4kerst\u00e4llts. I exekveringsmodellen har st\u00f6d f\u00f6r bearbetning av videostr\u00f6mmar lagts till;\n<li class=\"l\"> Uppdateringar genomf\u00f6rda <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.talosintelligence.com\/2020\/01\/opencv-buffer-overflow-jan-2020.html\">s\u00e5rbarheten<\/a><\/noindex>  (<noindex><a rel=\"nofollow\" href=\"https:\/\/www.talosintelligence.com\/vulnerability_reports\/TALOS-2019-0852\">CVE-2019-5063<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/www.talosintelligence.com\/vulnerability_reports\/TALOS-2019-0853\">CVE-2019-5064<\/a><\/noindex>), som potentiellt kan leda till att angriparens kod k\u00f6rs vid behandling av icke verifierade data i formaten XML, YAML och JSON. Om en null-tecken st\u00f6ter p\u00e5 under tolkningen av JSON, kopieras hela v\u00e4rdet till bufferten utan adekvat gr\u00e4nskontroll f\u00f6r det tilldelade minnesomr\u00e5det.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>K\u00e4lla: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52134\">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 4.2 (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-54815","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - 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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