{"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\/cs\/blog\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Objevila se utilita pro odstra\u0148ov\u00e1n\u00ed pohybuj\u00edc\u00edch se objekt\u016f z videa","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Dnes ji\u017e pro mnoh\u00e9 nen\u00ed probl\u00e9mem odstranit ru\u0161iv\u00fd prvek z fotografie. Z\u00e1kladn\u00ed dovednosti pr\u00e1ce v Photoshopu nebo trendy neuronov\u00e9 s\u00edt\u011b mohou tento probl\u00e9m vy\u0159e\u0161it. V p\u0159\u00edpad\u011b videa je v\u0161ak situace slo\u017eit\u011bj\u0161\u00ed, proto\u017ee je pot\u0159eba zpracovat alespo\u0148 24 sn\u00edmk\u016f na sekundu videa.<\/p>\n

\"Objevila<\/p>\n

A tady na Githubu se objevila<\/a><\/noindex> n\u00e1stroj, kter\u00fd automatizuje tyto \u00fakony a umo\u017e\u0148uje odstranit jak\u00e9koli pohybuj\u00edc\u00ed se objekty z videa. Sta\u010d\u00ed jednodu\u0161e vybrat nepot\u0159ebn\u00fd objekt r\u00e1me\u010dkem pomoc\u00ed kurzoru a syst\u00e9m ud\u011bl\u00e1 v\u0161e ostatn\u00ed. N\u00e1stroj se naz\u00fdv\u00e1 jednodu\u0161e - video-object-removal. Nicm\u00e9n\u011b, v jeho z\u00e1kladu spo\u010d\u00edvaj\u00ed pokro\u010dil\u00e9 technologie.<\/p>\n

Syst\u00e9m vyu\u017e\u00edv\u00e1 neuronovou s\u00ed\u0165, kter\u00e1 zpracov\u00e1v\u00e1 video sn\u00edmek po sn\u00edmku, nahrazuj\u00edc ne\u017e\u00e1douc\u00ed objekt nebo osobu pozad\u00edm. Program m\u016f\u017ee m\u011bnit a\u017e 55 sn\u00edmk\u016f za sekundu, dopl\u0148uj\u00edc pozad\u00ed na z\u00e1klad\u011b okoln\u00edho obrazu. A\u010dkoli p\u0159i bli\u017e\u0161\u00edm zkoum\u00e1n\u00ed je jasn\u00e9, \u017ee metoda odstran\u011bn\u00ed objekt\u016f nen\u00ed zdaleka ide\u00e1ln\u00ed, v\u00fdsledky jsou p\u016fsobiv\u00e9.<\/p>\n

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

Na n\u011bkter\u00fdch sn\u00edmc\u00edch je vid\u011bt, \u017ee na m\u00edst\u011b \u201eodstran\u011bn\u00e9ho\u201c \u010dlov\u011bka z\u016fst\u00e1v\u00e1 pr\u016fhledn\u00e1 nebo polopr\u016fhledn\u00e1 fantomov\u00e1 stopa. Faktem je, \u017ee syst\u00e9m analyzuje pouze dostupn\u00e9 pozad\u00ed a zat\u00edm ne v\u017edy adekv\u00e1tn\u011b dok\u00e1\u017ee jeho dopln\u011bn\u00ed. To z\u00e1vis\u00ed na slo\u017eitosti pozad\u00ed - \u010d\u00edm je jednodu\u0161\u0161\u00ed a homogenn\u011bj\u0161\u00ed, t\u00edm je lep\u0161\u00ed kone\u010dn\u00fd v\u00fdsledek.<\/p>\n

K testov\u00e1n\u00ed byla pou\u017eita OS Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, a zpracov\u00e1n\u00ed prob\u00edhalo na grafick\u00e9 kart\u011b NVIDIA GeForce GTX 1080 Ti. Samotn\u00e9 zdrojov\u00e9 k\u00f3dy jsou otev\u0159en\u00e9 a mohou b\u00fdt vyu\u017e\u00edv\u00e1ny v\u0161emi. P\u0159itom bychom m\u011bli poznamenat, \u017ee takov\u00e1 technologie m\u016f\u017ee b\u00fdt pou\u017eita i pro zl\u00e9 \u00fa\u010dely. Nap\u0159\u00edklad k \u201eskryt\u00ed\u201c poru\u0161en\u00ed pravidel silni\u010dn\u00edho provozu nebo jin\u00fdch zlo\u010din\u016f zachycen\u00fdch na kamer\u00e1ch.<\/p>\n

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

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