{"id":52320,"date":"2020-02-18T08:41:59","date_gmt":"2020-02-18T05:41:59","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/google-predstavil-autoflip-frejmvork-dlya-umnogo-kadrirovaniya-video"},"modified":"2020-02-18T08:41:59","modified_gmt":"2020-02-18T05:41:59","slug":"google-predstavil-autoflip-frejmvork-dlya-umnogo-kadrirovaniya-video","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/google-predstavil-autoflip-frejmvork-dlya-umnogo-kadrirovaniya-video","title":{"rendered":"Google hat AutoFlip vorgestellt, ein Framework f\u00fcr intelligentes Video-Cropping.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google pr\u00e4sentierte<\/a><\/noindex> offenes Framework AutoFlip<\/a><\/noindex>, das f\u00fcr das Beschneiden von Videos unter Ber\u00fccksichtigung der Verschiebung von Schl\u00fcsselobjekten entwickelt wurde. AutoFlip verwendet Methoden des maschinellen Lernens, um Objekte im Bild zu verfolgen, und ist als Erweiterung des Frameworks MediaPipe<\/a><\/noindex>konzipiert, das TensorFlow nutzt. Der Code wird unter der GPLv3-Lizenz bereitgestellt.<\/a><\/noindex> unter der Apache 2.0-Lizenz.
\n

\"Google<\/a><\/noindex><\/center><\/p>\n

In Breitbildvideos befinden sich Objekte nicht immer im Zentrum des Rahmens, daher reicht eine feste Beschneidung der R\u00e4nder nicht immer aus. AutoFlip verfolgt die Aktivit\u00e4t von Personen und Objekten im Bild und verschiebt das Beschneidungsfenster dynamisch f\u00fcr eine optimale Abdeckung der Schl\u00fcsselmomente der Szene (zum Beispiel, wenn im Bild mehrere Personen sind und eine von ihnen spricht oder sich bewegt, kann der Fokus des Beschneidens auf dieser Person liegen).<\/p>\n

\"Google<\/a><\/noindex><\/center><\/p>\n

\"Google<\/center><\/p>\n

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

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

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a AutoFlip, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u043a\u0430\u0434\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e \u0441 \u0443\u0447\u0451\u0442\u043e\u043c \u0441\u043c\u0435\u0449\u0435\u043d\u0438\u044f \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0445 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432. AutoFlip \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u043c\u0435\u0442\u043e\u0434\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0432 \u043a\u0430\u0434\u0440\u0435 \u0438 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d \u043a\u0430\u043a \u043d\u0430\u0434\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u043d\u0430\u0434 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u043e\u043c MediaPipe, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 TensorFlow. \u041a\u043e\u0434 \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. \u041d\u0430 \u0448\u0438\u0440\u043e\u043a\u043e\u044d\u043a\u0440\u0430\u043d\u043d\u043e\u043c \u0432\u0438\u0434\u0435\u043e \u043e\u0431\u044a\u0435\u043a\u0442\u044b \u043d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u043d\u0430\u0445\u043e\u0434\u044f\u0442\u0441\u044f \u0432 \u0446\u0435\u043d\u0442\u0440\u0435 \u043a\u0430\u0434\u0440\u0430, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0440\u0435\u0437\u0430\u043d\u0438\u044f \u043a\u0440\u0430\u0451\u0432 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":52321,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-52320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google hat AutoFlip vorgestellt, ein Framework f\u00fcr intelligentes Video-Zuschneiden | ProHoster","description":"Das Unternehmen Google hat ein offenes Framework 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