{"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\/sl\/blog\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Pojavila se je orodje za odstranjevanje premikajo\u010dih se objektov z videoposnetkov","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Danes za mnoge ni ve\u010d te\u017eava odstraniti mote\u010d element s fotografije. Osnovne ve\u0161\u010dine dela v Photoshopu ali priljubljene nevro mre\u017ee lahko re\u0161ijo problem. V primeru videa pa je situacija bolj zapletena, saj je treba obdelati vsaj 24 sli\u010dic na sekundo videoposnetka.<\/p>\n

\"Pojavila<\/p>\n

In to na Githubu vykoukly<\/a><\/noindex> Orodje, ki avtomatizira te postopke in omogo\u010da odstranjevanje kakr\u0161nih koli premikajo\u010dih se objektov iz videa. Preprosto morate z mi\u0161ko ozna\u010diti neza\u017eelen predmet, sistem pa bo poskrbel za vse ostalo. Orodje se imenuje preprosto - video-object-removal. Vendar temelji na naprednih tehnologijah.<\/p>\n

Sistem uporablja nevro mre\u017eo, ki obdeluje video sli\u010dico po sli\u010dici in nadome\u0161\u010da nepotrebni objekt ali osebo z ozadjem. Program lahko spremeni do 55 sli\u010dic na sekundo, pri \u010demer dopolnjuje ozadje na podlagi okoli\u0161kega posnetka. \u010ceprav je ob natan\u010dnem pregledu jasno, da metoda odstranjevanja objektov ni popolna, so rezultati osupljivi.<\/p>\n

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

Na nekaterih posnetkih je videti, da na mestu 'odstranjen' osebe ostane prozoren ali polprozoren duh. To je zato, ker sistem analizira le dostopno ozadje in \u0161e ne more vedno ustrezno dopolniti. To je odvisno od kompleksnosti ozadja - bolj enostavno in homogeno je, bolj\u0161i je kon\u010dni rezultat.<\/p>\n

Za testiranje je bila uporabljena operacijska sistem Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, obdelava pa se je izvajala na grafi\u010dni kartici NVIDIA GeForce GTX 1080 Ti. Izvorne kode so odprte in jih lahko uporablja vsakdo. Ob tem pa naj poudarimo, da se lahko taka tehnologija uporablja tudi v zlonamernih namenih. Na primer, da bi 'skril' kr\u0161itve prometnih pravil ali druge zlo\u010dine, ki so jih posnele kamere.<\/p>\n

<\/p>\n

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

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

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