{"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\/it\/blog\/google-predstavil-autoflip-frejmvork-dlya-umnogo-kadrirovaniya-video","title":{"rendered":"Google ha presentato AutoFlip, un framework per il ritaglio intelligente dei video","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Google <noindex><a rel=\"nofollow\" href=\"https:\/\/opensource.googleblog.com\/2020\/02\/autoflip-open-source-framework-for.html\">ha presentato<\/a><\/noindex> framework open source <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/blob\/master\/mediapipe\/docs\/autoflip.md\">AutoFlip<\/a><\/noindex>, progettato per il ritaglio dei video tenendo conto dello spostamento degli oggetti chiave. AutoFlip utilizza metodi di machine learning per tracciare gli oggetti nel frame ed \u00e8 strutturato come un'estensione del framework <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\">MediaPipe<\/a><\/noindex>, che utilizza TensorFlow. Il codice <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/tree\/master\/mediapipe\/examples\/desktop\/autoflip\">distribuito<\/a><\/noindex> sotto licenza Apache 2.0.<br \/>\n<center><noindex><a rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/pics_base\/0_1581834345.png\"><img decoding=\"async\" alt=\"Google ha presentato AutoFlip, un framework per il ritaglio intelligente dei video\" src=\"\/wp-content\/uploads\/2020\/02\/3fd15fbc957638dd38bf16f00bad5b24.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p>Nei video a schermo largo, gli oggetti non sono sempre centrati, quindi un ritaglio fisso dei bordi non \u00e8 sempre sufficiente. AutoFlip tiene traccia dell'attivit\u00e0 delle persone e degli oggetti nel frame e sposta dinamicamente la finestra di ritaglio per ottimizzare la copertura degli elementi chiave della scena (ad esempio, se ci sono pi\u00f9 persone e una di esse sta parlando o si muovendo, il focus del ritaglio pu\u00f2 essere concentrato su quella persona).<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/lh4.googleusercontent.com\/SLSZoS4dlfndsqUj4cIqnvUE6v79afB26j8McqCmn0wrFFX1RFIOdZ1zelHicXhyj5NsjVz5ttrxZPih4ZtSJ9CGjR3Jl7Pf61lZwrJWMaFx27S8ve06HKm1exPtwV7n6pJ_K0ZF\"><img decoding=\"async\" alt=\"Google ha presentato AutoFlip, un framework per il ritaglio intelligente dei video\" src=\"\/wp-content\/uploads\/2020\/02\/9525e942dead5f4585cae29719e0b932.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p><center><img decoding=\"async\" alt=\"Google ha presentato AutoFlip, un framework per il ritaglio intelligente dei video\" src=\"\/wp-content\/uploads\/2020\/02\/48f971bca8b979368cb5fd4faf676a9d.png\" style=\"display:block;margin: 0 auto;\" \/><\/center><\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Fonte: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52379\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\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 [&hellip;]<\/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<!-- All in One SEO 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