{"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\/sq\/blog\/news\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-2","title":{"rendered":"L\u00ebshimi i bibliotek\u00ebs s\u00eb vizionit kompjuterik 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\/\">U zhvillua<\/a><\/noindex> dalja e bibliotek\u00ebs s\u00eb lir\u00eb <noindex><a rel=\"nofollow\" href=\"http:\/\/opencv.org\/\">OpenCV 4.2<\/a><\/noindex> (Biblioteka e Vizionit Kompjuterik me Burim t\u00eb Hapur), q\u00eb ofron mjete p\u00ebr p\u00ebrpunimin dhe analiz\u00ebn e p\u00ebrmbajtjes s\u00eb imazheve. OpenCV ofron m\u00eb shum\u00eb se 2500 algoritme, si klasi\u00e7 t\u00eb till\u00eb ashtu edhe q\u00eb pasqyrojn\u00eb arritjet e fundit n\u00eb fush\u00ebn e vizionit kompjuterik dhe sistemeve t\u00eb m\u00ebsimit t\u00eb makinerive. Kodi i bibliotek\u00ebs \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn C++ dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/\">shp\u00ebrndahet<\/a><\/noindex> n\u00ebn licenc\u00ebn BSD. Bashk\u00ebngjitjet jan\u00eb p\u00ebrgatitur p\u00ebr gjuh\u00eb t\u00eb ndryshme programimi, p\u00ebrfshir\u00eb Python, MATLAB dhe Java.<\/p>\n<p>Biblioteka mund t\u00eb p\u00ebrdoret p\u00ebr njohjen e objekteve n\u00eb fotografi dhe video (p\u00ebr shembull, njohja e fytyrave dhe silueteve t\u00eb njer\u00ebzve, tekstit etj.), ndjekjen e l\u00ebvizjes s\u00eb objekteve dhe kamerave, klasifikimin e veprimeve n\u00eb video, transformimin e imazheve, nxjerrjen e modeleve 3D, formimin e nj\u00eb hap\u00ebsire 3D nga imazhet e kamerave stereokopike, krijimin e imazheve me cil\u00ebsi t\u00eb lart\u00eb p\u00ebrmes kombinimit t\u00eb imazheve me cil\u00ebsi m\u00eb t\u00eb ul\u00ebt, k\u00ebrkimin e objekteve n\u00eb imazh q\u00eb ngjajn\u00eb me nj\u00eb grup t\u00eb dh\u00ebn\u00eb elementesh, aplikimin e metodave t\u00eb m\u00ebsimit t\u00eb makinerive, vendosjen e shenjave, identifikimin e elementeve t\u00eb zakonshme n\u00eb imazhe t\u00eb ndryshme, eliminimin automatik t\u00eb defekteve t\u00eb tilla si efekti i syve t\u00eb kuq.<\/p>\n<p>N\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/wiki\/ChangeLog#version420\">n\u00eb daljen e re<\/a><\/noindex> <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/releases\/tag\/4.2.0\">t\u00eb l\u00ebshuar<\/a><\/noindex>:<\/p>\n<ul>\n<li class=\"l\"> Moduli DNN (Rrjeti i Thell\u00eb Neural) me implementimin e algoritmeve t\u00eb m\u00ebsimit t\u00eb makinerive t\u00eb bazuara n\u00eb rrjete nervore ka shtuar nj\u00eb backend p\u00ebr p\u00ebrdorimin e CUDA dhe ka zbatuar mb\u00ebshtetje eksperimentale p\u00ebr API <noindex><a rel=\"nofollow\" href=\"http:\/\/docs.openvinotoolkit.org\/\">nGraph OpenVINO<\/a><\/noindex>;\n<li class=\"l\"> Me p\u00ebrdorimin e instrukcioneve SIMD, \u00ebsht\u00eb optimizuar performanca e kodit p\u00ebr nxjerrjen stereoskopike (StereoBM\/StereoSGBM), ndryshimin e madh\u00ebsis\u00eb, mbivendosjen e maskave, rrotullimin, llogaritjen e komponenteve t\u00eb humbura t\u00eb ngjyr\u00ebs dhe shum\u00eb operacione t\u00eb tjera;\n<li class=\"l\"> Shtuar implementimin me shum\u00eb deg\u00eb t\u00eb funksionit <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\"> Shtuar mund\u00ebsin\u00eb e nxjerrjes s\u00eb fluxeve video nga kontejner\u00ebt e mediave (demuxing) me backend videoio t\u00eb bazuar n\u00eb FFmpeg;\n<li class=\"l\"> Shtuar nj\u00eb algorit\u00ebm p\u00ebr rikonstruksionin e shpejt\u00eb selektiv t\u00eb frekuencave t\u00eb imazheve t\u00eb d\u00ebmtuara <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.opencv.org\/4.2.0\/dc\/d2f\/tutorial_xphoto_inpainting.html\">FSR<\/a><\/noindex> (Rikonstruksioni Selektiv i Frekuencave);\n<li class=\"l\"> Shtuar metoda <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv_contrib\/pull\/2367\">RIC<\/a><\/noindex> p\u00ebr interpolimin e zonave tipike t\u00eb pafundura;\n<li class=\"l\"> Shtuar metoda e normalizimit t\u00eb devijimeve <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/short-circuitt\/LOGOS\">LOGOS<\/a><\/noindex>;\n<li class=\"l\"> N\u00eb modulin G-API (opencv_gapi), i cili kryen funksionet e motorit p\u00ebr p\u00ebrpunimin efikas t\u00eb imazheve duke p\u00ebrdorur algoritme t\u00eb bazuara n\u00eb graf, \u00ebsht\u00eb realizuar mb\u00ebshtetje p\u00ebr algoritme m\u00eb komplekse hibride t\u00eb vizionit kompjuterik dhe t\u00eb m\u00ebsimit t\u00eb thell\u00eb. \u00cbsht\u00eb siguruar mb\u00ebshtetje p\u00ebr backend-in Intel Inference Engine. N\u00eb modelin e ekzekutimit \u00ebsht\u00eb shtuar mb\u00ebshtetje p\u00ebr p\u00ebrpunimin e rrjedhave t\u00eb videove;\n<li class=\"l\"> Eliminuar <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.talosintelligence.com\/2020\/01\/opencv-buffer-overflow-jan-2020.html\">mang\u00ebsive<\/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>), t\u00eb cilat potencialisht mund t\u00eb \u00e7ojn\u00eb n\u00eb ekzekutimin e kodit t\u00eb sulmuesit gjat\u00eb p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave t\u00eb pa kontrolluara n\u00eb formatet XML, YAML dhe JSON. N\u00ebse gjat\u00eb analiz\u00ebs s\u00eb JSON haset nj\u00eb simbol me kod zero, vlera kopjohet e t\u00ebra n\u00eb tampon, por pa verifikim t\u00eb duhur p\u00ebr daljen jasht\u00eb kufijve t\u00eb hap\u00ebsir\u00ebs s\u00eb ndar\u00eb t\u00eb memories.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Burimi: <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 5.0.1.1 - 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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