{"id":104616,"date":"2022-07-07T21:37:10","date_gmt":"2022-07-07T19:37:10","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-5-2"},"modified":"2022-07-07T21:37:10","modified_gmt":"2022-07-07T19:37:10","slug":"reliz-sistemy-raspoznavaniya-teksta-tesseract-5-2","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/reliz-sistemy-raspoznavaniya-teksta-tesseract-5-2","title":{"rendered":"Vyd\u00e1n\u00ed syst\u00e9mu pro rozpozn\u00e1v\u00e1n\u00ed textu Tesseract 5.2","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Byl vyd\u00e1n release syst\u00e9mu optick\u00e9ho rozpozn\u00e1v\u00e1n\u00ed textu Tesseract 5.2, kter\u00fd podporuje rozpozn\u00e1v\u00e1n\u00ed znak\u016f UTF-8 a text\u016f ve v\u00edce ne\u017e 100 jazyc\u00edch, v\u010detn\u011b ru\u0161tiny, kaza\u0161tiny, b\u011bloru\u0161tiny a ukrajin\u0161tiny. V\u00fdsledky mohou b\u00fdt ukl\u00e1d\u00e1ny ve form\u00e1tu prost\u00e9ho textu, nebo v HTML (hOCR), ALTO (XML), PDF a TSV. Syst\u00e9m byl p\u016fvodn\u011b vytvo\u0159en v letech 1985-1995 v laborato\u0159i spole\u010dnosti Hewlett Packard, a v roce 2005 byl k\u00f3d otev\u0159en pod licenc\u00ed Apache a n\u00e1sledn\u011b se rozv\u00edjel za \u00fa\u010dasti zam\u011bstnanc\u016f spole\u010dnosti Google. Zdrojov\u00e9 texty projektu jsou distribuov\u00e1ny pod licenc\u00ed Apache 2.0.      <\/p>\n<p> Tesseract zahrnuje konzolovou utilitu a knihovnu libtesseract pro integraci funkc\u00ed rozpozn\u00e1v\u00e1n\u00ed textu do dal\u0161\u00edch aplikac\u00ed. Mezi podporovan\u00e9 extern\u00ed GUI rozhran\u00ed Tesseract pat\u0159\u00ed gImageReader, VietOCR a YAGF. Nab\u00edz\u00ed se dv\u011b rozpozn\u00e1vac\u00ed engine: klasick\u00fd, kter\u00fd rozpozn\u00e1v\u00e1 text na \u00farovni vzor\u016f jednotliv\u00fdch znak\u016f, a nov\u00fd, zalo\u017een\u00fd na syst\u00e9m\u011b strojov\u00e9ho u\u010den\u00ed pomoc\u00ed rekurentn\u00ed neuronov\u00e9 s\u00edt\u011b LSTM, optimalizovan\u00e9 pro rozpozn\u00e1v\u00e1n\u00ed cel\u00fdch \u0159et\u011bzc\u016f a umo\u017e\u0148uj\u00edc\u00ed dos\u00e1hnout v\u00fdrazn\u00e9ho zv\u00fd\u0161en\u00ed p\u0159esnosti. Hotov\u00e9 vytr\u00e9novan\u00e9 modely byly publikov\u00e1ny pro 123 jazyk\u016f. Pro optimalizaci v\u00fdkonu jsou k dispozici moduly vyu\u017e\u00edvaj\u00edc\u00ed OpenMP a SIMD instrukce AVX2, AVX, AVX512F, NEON nebo SSE4.1.     <\/p>\n<p>Hlavn\u00ed vylep\u0161en\u00ed v Tesseract 5.2:  <\/p>\n<ul>\n<li class=\"l\"> Byly p\u0159id\u00e1ny optimalizace implementovan\u00e9 pomoc\u00ed instrukc\u00ed Intel AVX512F.\n<li class=\"l\"> V C API byla p\u0159id\u00e1na funkce pro inicializaci tesseract s na\u010dten\u00edm modelu strojov\u00e9ho u\u010den\u00ed z pam\u011bti.\n<li class=\"l\"> Byl p\u0159id\u00e1n parametr invert_threshold, kter\u00fd ur\u010duje \u00farove\u0148 inverze textov\u00fdch \u0159et\u011bzc\u016f. V\u00fdchoz\u00ed hodnota je nastavena na 0.7. Pro vypnut\u00ed inverze je t\u0159eba nastavit hodnotu na 0.\n<li class=\"l\"> Byla zaji\u0161t\u011bna zpracov\u00e1n\u00ed velmi velk\u00fdch dokument\u016f na 32bitov\u00fdch hostitel\u00edch.\n<li class=\"l\"> Do\u0161lo k p\u0159echodu z pou\u017e\u00edv\u00e1n\u00ed funkc\u00ed std::regex na std::string.\n<li class=\"l\"> Vylep\u0161eny bylo skripty pro kompilaci pro Autotools, CMake a syst\u00e9my kontinu\u00e1ln\u00ed integrace.      <\/p>\n<p>Zdroj: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=57469\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043e\u043f\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u0430 Tesseract 5.2, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0435\u0439 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 UTF-8 \u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432 \u043d\u0430 \u0431\u043e\u043b\u0435\u0435 \u0447\u0435\u043c 100 \u044f\u0437\u044b\u043a\u0430\u0445, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0440\u0443\u0441\u0441\u043a\u0438\u0439, \u043a\u0430\u0437\u0430\u0445\u0441\u043a\u0438\u0439, \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u0438 \u0443\u043a\u0440\u0430\u0438\u043d\u0441\u043a\u0438\u0439. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0442\u044c\u0441\u044f \u043a\u0430\u043a \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0442\u0435\u043a\u0441\u0442\u043e\u043c, \u0442\u0430\u043a \u0438 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