{"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\/sk\/blog\/news\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-2","title":{"rendered":"Vydanie kni\u017enice po\u010d\u00edta\u010dov\u00e9ho videnia 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\/\">Sa uskuto\u010dnilo<\/a><\/noindex> preh\u013ead vo\u013enej kni\u017enice <noindex><a rel=\"nofollow\" href=\"http:\/\/opencv.org\/\">OpenCV 4.2<\/a><\/noindex> (Open Source Computer Vision Library), poskytuj\u00faca prostriedky na spracovanie a anal\u00fdzu obsahu obr\u00e1zkov. OpenCV pon\u00faka viac ako 2500 algoritmov, ako klasick\u00fdch, tak aj odr\u00e1\u017eaj\u00facich najnov\u0161ie pokroky v oblasti po\u010d\u00edta\u010dov\u00e9ho videnia a syst\u00e9mov strojov\u00e9ho u\u010denia. K\u00f3d kni\u017enice je nap\u00edsan\u00fd v jazyku C++ a <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/\">distribuovan\u00fd<\/a><\/noindex> je pod licenciou BSD. Pre r\u00f4zne programovacie jazyky boli pripraven\u00e9 v\u00e4zby, vr\u00e1tane Pythonu, MATLABu a Javy.<\/p>\n<p>Kni\u017enica sa m\u00f4\u017ee pou\u017e\u00edva\u0165 na rozpozn\u00e1vanie objektov na fotografi\u00e1ch a vide\u00e1ch (napr\u00edklad rozpozn\u00e1vanie tv\u00e1r\u00ed a post\u00e1v \u013eud\u00ed, textu a pod.), sledovanie pohybu objektov a kamery, klasifik\u00e1ciu akci\u00ed vo videu, transform\u00e1ciu obr\u00e1zkov, extrakciu 3D modelov, tvorbu 3D priestoru z obr\u00e1zkov zo stereokamery, vytv\u00e1ranie vysoko kvalitn\u00fdch obr\u00e1zkov spojen\u00edm obr\u00e1zkov s ni\u017e\u0161ou kvalitou, vyh\u013ead\u00e1vanie na obr\u00e1zku objektov podobn\u00fdch predstaven\u00e9mu s\u00faboru prvkov, aplik\u00e1ciu met\u00f3d strojov\u00e9ho u\u010denia, umiest\u0148ovanie zna\u010diek, identifik\u00e1ciu spolo\u010dn\u00fdch prvkov na r\u00f4znych obr\u00e1zkoch, automatick\u00e9 odstr\u00e1nenie defektov ako napr\u00edklad efekt \u010derven\u00fdch o\u010d\u00ed.<\/p>\n<p>V <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/wiki\/ChangeLog#version420\">novom<\/a><\/noindex> <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/releases\/tag\/4.2.0\">vydan\u00ed<\/a><\/noindex>:<\/p>\n<ul>\n<li class=\"l\"> Do modulu DNN (Deep Neural Network) s implement\u00e1ciou algoritmov strojov\u00e9ho u\u010denia na z\u00e1klade neur\u00f3nov\u00fdch siet\u00ed bol pridan\u00fd backend na pou\u017eitie CUDA a bola implementovan\u00e1 experiment\u00e1lna podpora API <noindex><a rel=\"nofollow\" href=\"http:\/\/docs.openvinotoolkit.org\/\">nGraph OpenVINO<\/a><\/noindex>;\n<li class=\"l\"> Pomocou SIMD in\u0161trukci\u00ed bola optimalizovan\u00e1 v\u00fdkonnos\u0165 k\u00f3du pre stereov\u00fdstup (StereoBM\/StereoSGBM), zmenu ve\u013ekosti, zahalenie masky, ot\u00e1\u010danie, v\u00fdpo\u010det ch\u00fdbaj\u00facich komponentov farby a mnoh\u00e9 \u010fal\u0161ie oper\u00e1cie;\n<li class=\"l\"> Bola pridan\u00e1 viacvl\u00e1knov\u00e1 implement\u00e1cia funkcie <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\"> Bol pridan\u00fd algoritmus na r\u00fdchle frekven\u010dne selekt\u00edvne rekon\u0161trukcie po\u0161koden\u00fdch obr\u00e1zkov\n<li class=\"l\"> FSR <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.opencv.org\/4.2.0\/dc\/d2f\/tutorial_xphoto_inpainting.html\">(Frequency Selective Reconstruction);<\/a><\/noindex> RIC\n<li class=\"l\"> Bola pridan\u00e1 met\u00f3da <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv_contrib\/pull\/2367\">pre interpol\u00e1ciu typick\u00fdch nevyplnen\u00fdch oblast\u00ed;<\/a><\/noindex> Bol pridan\u00fd met\u00f3da normaliz\u00e1cie odch\u00fdlok\n<li class=\"l\"> LOGOS <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/short-circuitt\/LOGOS\">V module G-API (opencv_gapi), vykon\u00e1vaj\u00facom funkcie motora pre efekt\u00edvne spracovanie obr\u00e1zkov pomocou algoritmov na z\u00e1klade grafov, bola implementovan\u00e1 podpora komplexnej\u0161\u00edch hybridn\u00fdch algoritmov po\u010d\u00edta\u010dov\u00e9ho videnia a h\u013abkov\u00e9ho strojov\u00e9ho u\u010denia. Bola zabezpe\u010den\u00e1 podpora backendu Intel Inference Engine. Do modelu vykon\u00e1vania bola pridan\u00e1 podpora spracovania videostreamov;<\/a><\/noindex>;\n<li class=\"l\"> CVE-2019-5063\n<li class=\"l\"> Opraven\u00e9 <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.talosintelligence.com\/2020\/01\/opencv-buffer-overflow-jan-2020.html\">zranite\u013enosti<\/a><\/noindex>  (<noindex><a rel=\"nofollow\" href=\"https:\/\/www.talosintelligence.com\/vulnerability_reports\/TALOS-2019-0852\">CVE-2019-5064<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/www.talosintelligence.com\/vulnerability_reports\/TALOS-2019-0853\">), ktor\u00e9 potenci\u00e1lne m\u00f4\u017eu vies\u0165 k vykonaniu k\u00f3du \u00fato\u010dn\u00edka pri spracovan\u00ed neoveren\u00fdch \u00fadajov vo form\u00e1toch XML, YAML a JSON. Ak sa pri anal\u00fdze JSON stretne symbol s nulov\u00fdm k\u00f3dom, hodnota sa cel\u00e1 kop\u00edruje do vyrovn\u00e1vacej pam\u00e4te, ale bez riadneho overovania hran\u00edc vyhraden\u00e9ho pam\u00e4\u0165ov\u00e9ho priestoru.<\/a><\/noindex>Uskuto\u010dnil sa preh\u013ead vo\u013enej kni\u017enice OpenCV 4.2 (Open Source.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Zdroj: <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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