{"id":87777,"date":"2020-07-10T01:42:13","date_gmt":"2020-07-09T23:42:13","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/novaya-sistema-opticheskogo-raspoznavaniya-teksta-easyocr"},"modified":"2020-07-10T01:42:13","modified_gmt":"2020-07-09T23:42:13","slug":"novaya-sistema-opticheskogo-raspoznavaniya-teksta-easyocr","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/novaya-sistema-opticheskogo-raspoznavaniya-teksta-easyocr","title":{"rendered":"Uus optilise m\u00e4rgistuse s\u00fcsteem EasyOCR","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Projekt EasyOCR<\/a><\/noindex> areneb uue optilise tekstituvastuse s\u00fcsteem, mis toetab \u00fcle 40 keele, sealhulgas inglise, saksa, prantsuse, jaapani, hiina, korea, usbeki, azerbaijaani ja leedu keele. Kirillitsa p\u00f5hiseid keeli ei toetata veel, kuid nende lisamine on plaanis. Kood on kirjutatud Pythonis, kasutades raamistikku PyTorch<\/a><\/noindex> ja levitatakse<\/a><\/noindex> Apache 2.0 litsentsi all. Laadimiseks on saadaval<\/a><\/noindex> valmis mudelid ladina t\u00e4hestikut ja hierogl\u00fc\u00fcfe toetavatele keeledele.<\/p>\n

Piltide tekstide m\u00e4\u00e4ramiseks ja tuvastamiseks kasutatakse masin\u00f5ppe meetodeid. Teksti m\u00e4\u00e4ramiseks kasutatakse masin\u00f5ppe algoritmi CRAFT<\/a><\/noindex> (Character-Region Awareness For Text) tehnoloogia<\/a><\/noindex> PyTorchile, mis suudab teksti v\u00e4lja tuua erinevates objektides, sealhulgas siltides, informatsioonitahvlites ja liiklusm\u00e4rkides. S\u00fcmbolite j\u00e4rjestuste tuvastamiseks kasutatakse konvolutsiooniliselt-rekurrentset n\u00e4rviv\u00f5rku CRNN<\/a><\/noindex> (Convolutional Recurrent Neural Network, DCNN ja RNN kombinatsioon) ning algoritmi CTC BeamSearch<\/a><\/noindex> (Connectionist Temporal Classification), et dekodeerida n\u00e4rviv\u00f5rgu v\u00e4ljundeid tekstivormingusse. <\/p>\n

<\/a><\/noindex><\/p>\n

Allikas: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041f\u0440\u043e\u0435\u043a\u0442\u043e\u043c EasyOCR \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043d\u043e\u0432\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \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, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0430\u044f \u0431\u043e\u043b\u0435\u0435 40 \u044f\u0437\u044b\u043a\u043e\u0432, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439, \u043d\u0435\u043c\u0435\u0446\u043a\u0438\u0439, \u0444\u0440\u0430\u043d\u0446\u0443\u0437\u0441\u043a\u0438\u0439, \u044f\u043f\u043e\u043d\u0441\u043a\u0438\u0439, \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u0438\u0439, \u043a\u043e\u0440\u0435\u0439\u0441\u043a\u0438\u0439, \u0443\u0437\u0431\u0435\u043a\u0441\u043a\u0438\u0439, \u0430\u0437\u0435\u0440\u0431\u0430\u0439\u0434\u0436\u0430\u043d\u0441\u043a\u0438\u0439 \u0438 \u043b\u0438\u0442\u043e\u0432\u0441\u043a\u0438\u0439. \u042f\u0437\u044b\u043a\u0438 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u0438\u0440\u0438\u043b\u043b\u0438\u0446\u044b \u043f\u043e\u043a\u0430 \u043d\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0442\u0441\u044f, \u043d\u043e \u0438\u0445 \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432 \u0441\u043f\u0438\u0441\u043a\u0435 \u043f\u043b\u0430\u043d\u043e\u0432. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 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