{"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\/et\/blog\/novosti-interneta\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Ilmus utiliit, et eemaldada liikuvaid objekte videost","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

T\u00e4nap\u00e4eval ei ole paljude jaoks probleem h\u00e4iriva elemendi eemaldamine fotolt. Photoshopi p\u00f5hioskused v\u00f5i praegu populaarsed tehisintellekti lahendused suudavad selle probleemi lahendada. Videoga seoses on aga olukord keerulisem, kuna on vaja t\u00f6\u00f6delda v\u00e4hemalt 24 kaadrit sekundis.<\/p>\n

\"Ilmus<\/p>\n

Ja siin on Githubis ilmus<\/a><\/noindex> rakendus, mis automatiseerib neid toiminguid, v\u00f5imaldades eemaldada videost k\u00f5ik liikuvad objektid. Piisab, kui lihtsalt joonistada hiirekursori abil \u00fcleliigne objekt raami, ja s\u00fcsteem teeb \u00fclej\u00e4\u00e4nu ise. Rakendus kannab tagasihoidlikku nime — video-object-removal. Kuid selle aluseks on t\u00e4iustatud tehnoloogiad.<\/p>\n

S\u00fcsteem kasutab tehisintellekti, mis t\u00f6\u00f6tleb videot kaader kaupa, asendades soovimatu objekti v\u00f5i inimese taustaga. Programm suudab muuta kuni 55 kaadrit sekundis, t\u00e4iendades tausta \u00fcmbritseva pildi p\u00f5hjal. Kuigi l\u00e4hemal vaatlemisel selgub, et objektide eemaldamise meetod ei ole kaugeltki ideaalne, on tulemused muljetavaldavad.<\/p>\n

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

M\u00f5nedes kaadrites on n\u00e4ha, et eemaldatud inimese kohale j\u00e4\u00e4b l\u00e4bipaistev v\u00f5i pooll\u00e4bipaistev fantoomj\u00e4lg. Asi on selles, et s\u00fcsteem anal\u00fc\u00fcsib vaid k\u00e4ttesaadavat tausta ja ei suuda seda seni alati adekvaatselt t\u00e4ita. See s\u00f5ltub tausta keerukusest — mida lihtsam ja \u00fchtlasem see on, seda parem on l\u00f5pptulemus.<\/p>\n

Testimiseks kasutati \u041e\u0421 Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, ning t\u00f6\u00f6tlemine toimus NVIDIA GeForce GTX 1080 Ti videokaardil. Algfailid on avatud ja neid saavad kasutada k\u00f5ik. Tuleb siiski m\u00e4rkida, et sellist tehnoloogiat saab kasutada ka kuritegelikel eesm\u00e4rkidel. N\u00e4iteks, et \"varjata\" liiklusreeglite rikkumist v\u00f5i muid kuritegusid, mis kaameratele j\u00e4\u00e4vad.<\/p>\n

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

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