{"id":36276,"date":"2019-10-31T22:10:37","date_gmt":"2019-10-31T19:10:37","guid":{"rendered":"https:\/\/prohoster.info\/blog\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video\/"},"modified":"2019-10-31T22:10:37","modified_gmt":"2019-10-31T19:10:37","slug":"poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Megjelent egy seg\u00e9deszk\u00f6z a mozg\u00f3 t\u00e1rgyak elt\u00e1vol\u00edt\u00e1s\u00e1ra vide\u00f3b\u00f3l","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Napjainkban m\u00e1r sokak sz\u00e1m\u00e1ra nem jelent probl\u00e9m\u00e1t egy zavar\u00f3 elem elt\u00e1vol\u00edt\u00e1sa a f\u00e9nyk\u00e9pr\u0151l. Az alapvet\u0151 Photoshop ismeretek vagy a ma n\u00e9pszer\u0171 neur\u00e1lis h\u00e1l\u00f3k megoldhatj\u00e1k ezt a probl\u00e9m\u00e1t. Azonban vide\u00f3 eset\u00e9ben a helyzet bonyolultabb, mivel legal\u00e1bb 24 k\u00e9pkock\u00e1t kell feldolgozni egy m\u00e1sodperc alatt.<\/p>\n

\"Megjelent<\/p>\n

\u00c9s itt van a Github-on megjelenik<\/a><\/noindex> Olyan eszk\u00f6z, amely automatiz\u00e1lja ezeket a m\u0171veleteket, lehet\u0151v\u00e9 t\u00e9ve b\u00e1rmilyen mozg\u00f3 objektum elt\u00e1vol\u00edt\u00e1s\u00e1t a vide\u00f3b\u00f3l. El\u00e9g, ha a sz\u00fcks\u00e9gtelen objektumot kerettel kiemeli az eg\u00e9rkurzor seg\u00edts\u00e9g\u00e9vel, \u00e9s a rendszer mindent elv\u00e9gez. Az eszk\u00f6z neve nem t\u00fal bonyolult \u2014 video-object-removal. Az alapj\u00e1t azonban fejlett technol\u00f3gi\u00e1k adj\u00e1k.<\/p>\n

A rendszer egy neur\u00e1lis h\u00e1l\u00f3t haszn\u00e1l, amely l\u00e9p\u00e9sr\u0151l l\u00e9p\u00e9sre dolgozza fel a vide\u00f3t, \u00e9s a nem k\u00edv\u00e1nt objektumot vagy embert h\u00e1tt\u00e9rrel helyettes\u00edti. A program ak\u00e1r 55 k\u00e9pkock\u00e1t is k\u00e9pes m\u00f3dos\u00edtani m\u00e1sodpercenk\u00e9nt, a h\u00e1tt\u00e9r rekonstrukci\u00f3j\u00e1val a k\u00f6rnyez\u0151 k\u00e9pek alapj\u00e1n. B\u00e1r alaposan megvizsg\u00e1lva vil\u00e1goss\u00e1 v\u00e1lik, hogy az objektumok elt\u00e1vol\u00edt\u00e1s\u00e1nak m\u00f3dszere messze nem t\u00f6k\u00e9letes, az eredm\u00e9nyek leny\u0171g\u00f6z\u0151ek.<\/p>\n

<\/center><\/p>\n

N\u00e9h\u00e1ny felv\u00e9telen l\u00e1tszik, hogy a «elt\u00e1vol\u00edtott» szem\u00e9ly hely\u00e9n \u00e1tl\u00e1tsz\u00f3 vagy f\u00e9lig \u00e1tl\u00e1tsz\u00f3 fantomnyom marad. Az a helyzet, hogy a rendszer csak a hozz\u00e1f\u00e9rhet\u0151 h\u00e1tteret elemzi, \u00e9s eddig nem mindig k\u00e9pes megfelel\u0151en kidolgozni azt. Ez a h\u00e1tt\u00e9r \u00f6sszetetts\u00e9g\u00e9t\u0151l f\u00fcgg \u2014 min\u00e9l egyszer\u0171bb \u00e9s homog\u00e9nebb, ann\u00e1l jobb a v\u00e9geredm\u00e9ny.<\/p>\n

A tesztel\u00e9shez Ubuntu 16.04 oper\u00e1ci\u00f3s rendszert, Python 3.5-\u00f6t, Pytorch 0.4.0-t, CUDA 8.0-t haszn\u00e1ltak, a feldolgoz\u00e1s pedig NVIDIA GeForce GTX 1080 Ti grafikus k\u00e1rty\u00e1n zajlott. Az alapanyagok ny\u00edltak, \u00e9s mindenki haszn\u00e1lhatja \u0151ket. Ugyanakkor megjegyezhetj\u00fck, hogy az ilyen technol\u00f3gia rosszindulat\u00fa c\u00e9lokra is felhaszn\u00e1lhat\u00f3. P\u00e9ld\u00e1ul, hogy «elt\u00fcntesse» a k\u00f6zleked\u00e9si szab\u00e1lyok megs\u00e9rt\u00e9s\u00e9t vagy egy\u00e9b b\u0171ncselekm\u00e9nyeket, amelyek a kamer\u00e1kra ker\u00fcltek.<\/p>\n

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Forr\u00e1s: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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