{"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\/de\/blog\/novosti-interneta\/novaya-sistema-opticheskogo-raspoznavaniya-teksta-easyocr","title":{"rendered":"Das neue optische Texterkennungssystem EasyOCR","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Projekt <noindex><a rel=\"nofollow\" href=\"https:\/\/jaided.ai\/read\">EasyOCR<\/a><\/noindex> entwickelt ein neues System zur optischen Texterkennung, das \u00fcber 40 Sprachen unterst\u00fctzt, darunter Englisch, Deutsch, Franz\u00f6sisch, Japanisch, Chinesisch, Koreanisch, Usbekisch, Aserbaidschanisch und Litauisch. Sprachen, die auf dem Kyrillischen basieren, werden vorerst nicht unterst\u00fctzt, aber ihre Integration ist geplant. Der Code ist in Python unter Verwendung des Frameworks geschrieben <noindex><a rel=\"nofollow\" href=\"https:\/\/pytorch.org\">PyTorch<\/a><\/noindex> und <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/JaidedAI\/EasyOCR\">wird unter der GPLv3-Lizenz bereitgestellt.<\/a><\/noindex> unter der Lizenz Apache 2.0. Zum Download <noindex><a rel=\"nofollow\" href=\"https:\/\/jaided.ai\/read_download\">werden bereitgestellt<\/a><\/noindex> fertige Modelle f\u00fcr Sprachen auf Basis des lateinischen Alphabets und von Schriftzeichen.<\/p>\n<p>Zur Erkennung und Texterkennung auf Bildern werden Methoden des maschinellen Lernens angewendet. Zur Texterkennung wird der maschinelle Lernalgorithmus <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/pdf\/1904.01941.pdf\">CRAFT<\/a><\/noindex> (Character-Region Awareness For Text) in <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/clovaai\/CRAFT-pytorch\">Implementierung<\/a><\/noindex> f\u00fcr PyTorch verwendet, der in der Lage ist, Text auf beliebigen Objekten zu extrahieren, einschlie\u00dflich Etiketten, Informationsschildern und Verkehrsschildern. F\u00fcr die Erkennung von Zeichenfolgen wird ein konvolutionales rekurrentes neuronales Netzwerk <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/pdf\/1507.05717\">CRNN<\/a><\/noindex> (Convolutional Recurrent Neural Network, eine Kombination aus DCNN und RNN) sowie der <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/githubharald\/CTCDecoder\">CTC BeamSearch<\/a><\/noindex> CTC BeamSearch (Connectionist Temporal Classification) zum Decodieren der Ausgabedaten des neuronalen Netzwerks in ein Textformat eingesetzt. <\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Quelle: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=53314\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\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 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. \u0414\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0433\u043e\u0442\u043e\u0432\u044b\u0435 [&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-87777","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\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 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Sprachen auf Basis der kyrillischen Schrift werden derzeit noch nicht unterst\u00fctzt, ihre Aufnahme in die Liste der Pl\u00e4ne ist jedoch vorgesehen. Der Code ist in Python unter Verwendung des Frameworks PyTorch geschrieben und steht unter der Lizenz Apache 2.0 zur Verf\u00fcgung. 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