{"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\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Ilmus utiliit, mis eemaldab videost liikuvad objektid","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

T\u00e4naseks pole paljudele probleemiks liigsete elementide eemaldamine fotolt. Photoshopi p\u00f5hiteadmised v\u00f5i t\u00e4nap\u00e4eval moes olevad tehisintellektide lahendused suudavad selle \u00fclesande t\u00e4ita. Kuid videoga on asi keerulisem, kuna tuleb t\u00f6\u00f6delda v\u00e4hemalt 24 kaadrit sekundis.<\/p>\n

\"Ilmus<\/p>\n

Ja siin on Githubis on<\/a><\/noindex> v\u00f5imalus, mis automatiseerib need toimingud, v\u00f5imaldades eemaldada video k\u00f5ik liikuvad objektid. Piisab, kui m\u00e4rkida liigne objekt kursori abil raamiga, ning s\u00fcsteem teeb \u00fclej\u00e4\u00e4nud. T\u00f6\u00f6riist on lihtsalt nimetatud \u2013 video-object-removal. Siiski p\u00f5hinevad sellel edasij\u00f5udnud tehnoloogiad.<\/p>\n

S\u00fcsteem kasutab tehisintellekti, mis t\u00f6\u00f6tleb videot kaadrite 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 vaatamisel on selge, et objektide eemaldamise meetod pole sugugi ideaalne, on tulemused muljetavaldavad.<\/p>\n

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M\u00f5nedes kaadrites on n\u00e4ha, et \u00abeemaldatud\u00bb inimese kohale j\u00e4\u00e4b l\u00e4bipaistev v\u00f5i pooll\u00e4bipaistev fantoomj\u00e4lg. Probleem on selles, et s\u00fcsteem anal\u00fc\u00fcsib vaid kergesti ligip\u00e4\u00e4setavat tausta ning ei pruugi seda alati adekvaatselt joonistada. See s\u00f5ltub tausta keerukusest \u2013 mida lihtsam ja \u00fchtlasem see on, seda parem on l\u00f5pptulemus.<\/p>\n

Testimiseks kasutati operatsioonis\u00fcsteemi Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, ning t\u00f6\u00f6tlemine toimus graafikakaardil NVIDIA GeForce GTX 1080 Ti. Algandmed on avatud ja neid saavad kasutada k\u00f5ik. Tuleb m\u00e4rkida, et sellist tehnoloogiat v\u00f5ib kasutada ka kuritahtlikel eesm\u00e4rkidel. N\u00e4iteks, et \u00abpeita\u00bb liiklusreeglite rikkumisi v\u00f5i muid kuritegusid, mis on kaameratele j\u00e4\u00e4nud.<\/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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