{"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\/et\/blog\/google-predstavil-autoflip-frejmvork-dlya-umnogo-kadrirovaniya-video","title":{"rendered":"Google esitles AutoFlip'i, raamistikku nutikaks video raamimise tegemiseks","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\">esituse<\/a><\/noindex> avatud raamistik <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/blob\/master\/mediapipe\/docs\/autoflip.md\">AutoFlip<\/a><\/noindex>, mis on m\u00f5eldud videote k\u00e4rpimiseks v\u00f5tmeobjektide nihke arvestamisega. AutoFlip kasutab masin\u00f5ppe meetodeid kaadri objektide j\u00e4lgimiseks ja on vormistatud laiendina raamistikule <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\">MediaPipe<\/a><\/noindex>, mis kasutab TensorFlow'd. Kood <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/tree\/master\/mediapipe\/examples\/desktop\/autoflip\">GNU \u00dcldine Avaliku litsentsi alusel.<\/a><\/noindex> ainekood on litsentsitud Apache 2.0 all.<br \/>\n<center><noindex><a rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/pics_base\/0_1581834345.png\"><img decoding=\"async\" alt=\"Google esitles AutoFlip&#039;i, raamistikku nutikaks video raamimise tegemiseks\" src=\"\/wp-content\/uploads\/2020\/02\/3fd15fbc957638dd38bf16f00bad5b24.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p>Laiekraanvideotes ei pruugi objektid alati olla kaadri keskpunktis, seet\u00f5ttu ei pruugi fikseeritud servade k\u00e4rpimine alati piisav olla. AutoFlip j\u00e4lgib inimeste ja objektide aktiivsust kaadris ning d\u00fcnaamiliselt nihutab k\u00e4rpimisakent, et saavutada optimaalselt v\u00f5tmelementide katmine stseenis (n\u00e4iteks kui kaadris on mitu inimest ja \u00fcks neist r\u00e4\u00e4gib v\u00f5i liigub, siis fokuseerimise fookus v\u00f5ib olla suunatud just sellele inimesele).<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/lh4.googleusercontent.com\/SLSZoS4dlfndsqUj4cIqnvUE6v79afB26j8McqCmn0wrFFX1RFIOdZ1zelHicXhyj5NsjVz5ttrxZPih4ZtSJ9CGjR3Jl7Pf61lZwrJWMaFx27S8ve06HKm1exPtwV7n6pJ_K0ZF\"><img decoding=\"async\" alt=\"Google esitles AutoFlip&#039;i, raamistikku nutikaks video raamimise tegemiseks\" 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 esitles AutoFlip&#039;i, raamistikku nutikaks video raamimise tegemiseks\" 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>Allikas: <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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