{"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\/ro\/blog\/news\/vypusk-biblioteki-kompyuternogo-zreniya-opencv-4-7","title":{"rendered":"Lansarea bibliotecii de viziune computa\u021bional\u0103 OpenCV 4.7","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A avut loc lansarea bibliotecii libere OpenCV 4.7 (Open Source Computer Vision Library), care ofer\u0103 instrumente pentru procesarea \u0219i analiza con\u021binutului imaginilor. OpenCV ofer\u0103 mai mult de 2500 de algoritmi, at\u00e2t clasici, c\u00e2t \u0219i reflect\u00e2nd cele mai recente progrese \u00een domeniul viziunii computerizate \u0219i al sistemelor de \u00eenv\u0103\u021bare automat\u0103. Codul bibliotecii este scris \u00een C++ \u0219i este distribuit sub licen\u021ba BSD. Leg\u0103turile sunt preg\u0103tite pentru diferite limbaje de programare, inclusiv Python, MATLAB \u0219i Java.    <\/p>\n<p>Biblioteca poate fi utilizat\u0103 pentru recunoa\u0219terea obiectelor \u00een fotografii \u0219i videoclipuri (de exemplu, recunoa\u0219terea fe\u021belor \u0219i siluetei umane, textului etc.), urm\u0103rirea mi\u0219c\u0103rii obiectelor \u0219i camerelor, clasificarea ac\u021biunilor din videoclipuri, transformarea imaginilor, extragerea modelelor 3D, formarea unui spa\u021biu 3D din imagini de la camere stereo, crearea de imagini de \u00eenalt\u0103 calitate prin combinarea imaginilor de calitate mai mic\u0103, c\u0103utarea pe imagine a obiectelor similare cu un set dat de elemente, aplicarea metodelor de \u00eenv\u0103\u021bare automat\u0103, aranjarea markerelor, identificarea elementelor comune \u00een imagini diferite, eliminarea automat\u0103 a defectelor, cum ar fi efectul de ochi ro\u0219ii.      <\/p>\n<p>Printre modific\u0103rile din noua versiune:  <\/p>\n<ul>\n<li class=\"l\"> S-a realizat o optimizare semnificativ\u0103 a performan\u021bei convolu\u021biilor \u00een modulul DNN (Deep Neural Network) cu implementarea algoritmilor de \u00eenv\u0103\u021bare automat\u0103 bazate pe re\u021bele neuronale. A fost implementat algoritmul de convolu\u021bii rapide al lui Vinograd. Au fost ad\u0103ugate noi straturi ONNX (Open Neural Network Exchange): Scatter, ScatterND, Tile, ReduceL1 \u0219i ReduceMin. A fost ad\u0103ugat\u0103 suport pentru framework-ul OpenVino 2022.1 \u0219i backend-ul CANN.\n<li class=\"l\"> A fost \u00eembun\u0103t\u0103\u021bit\u0103 calitatea de detectare \u0219i decodare a codurilor QR.\n<li class=\"l\"> A fost ad\u0103ugat\u0103 suport pentru markerii vizuali ArUco \u0219i AprilTag.\n<li class=\"l\"> A fost ad\u0103ugat tracker-ul Nanotrack v2 bazat pe re\u021bele neuronale.\n<li class=\"l\"> A fost implementat algoritmul de estompare Stackblur.\n<li class=\"l\"> A fost ad\u0103ugat suport pentru FFmpeg 5.x \u0219i CUDA 12.0.\n<li class=\"l\"> A fost propus un nou API pentru manipularea formatelor de imagini cu mai multe pagini.\n<li class=\"l\"> A fost ad\u0103ugat suport pentru biblioteca libSPNG pentru formatul PNG.\n<li class=\"l\"> \u00cen libJPEG-Turbo a fost implementat\u0103 accelerarea prin instruc\u021biuni SIMD.\n<li class=\"l\"> Pentru platforma Android a fost implementat suport H264\/H265.\n<li class=\"l\"> Sunt furnizate toate API-urile de baz\u0103 pentru limbajul Python.\n<li class=\"l\"> A fost ad\u0103ugat un nou backend universal pentru instruc\u021biunile vectoriale.  <\/ul>\n<p>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58405\">opennet.ro<\/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 5.0.2.1 - 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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