{"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\/pl\/blog\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"Pojawi\u0142a si\u0119 aplikacja do usuwania ruchomych obiekt\u00f3w z wideo","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Dzi\u015b usuni\u0119cie niechcianego elementu z fotografii nie stanowi ju\u017c problemu dla wielu os\u00f3b. Podstawowe umiej\u0119tno\u015bci obs\u0142ugi Photoshopa lub popularne obecnie sieci neuronowe mog\u0105 rozwi\u0105za\u0107 ten problem. Jednak w przypadku wideo sytuacja jest bardziej skomplikowana, poniewa\u017c trzeba przetworzy\u0107 co najmniej 24 klatki na sekund\u0119 wideo.<\/p>\n

\"Pojawi\u0142a<\/p>\n

A oto na Githubie pojawi\u0142a si\u0119<\/a><\/noindex> Narz\u0119dzie, kt\u00f3re automatyzuje te dzia\u0142ania, pozwalaj\u0105c na usuwanie wszelkich poruszaj\u0105cych si\u0119 obiekt\u00f3w z wideo. Wystarczy zaznaczy\u0107 zb\u0119dny obiekt ramk\u0105 za pomoc\u0105 kursora, a system zrobi reszt\u0119. Narz\u0119dzie nazywa si\u0119 bezpretensjonalnie video-object-removal. Jednak za nim kryj\u0105 si\u0119 zaawansowane technologie.<\/p>\n

System wykorzystuje sie\u0107 neuronow\u0105, kt\u00f3ra przetwarza wideo klatka po klatce, zast\u0119puj\u0105c niechciany obiekt lub osob\u0119 t\u0142em. Program mo\u017ce zmienia\u0107 do 55 klatek na sekund\u0119, tworz\u0105c t\u0142o na podstawie otaczaj\u0105cego obrazu. Cho\u0107 przy bli\u017cszym przyjrzeniu si\u0119 wida\u0107, \u017ce metoda usuwania obiekt\u00f3w nie jest doskona\u0142a, wyniki s\u0105 imponuj\u0105ce.<\/p>\n

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Na niekt\u00f3rych klatkach wida\u0107, \u017ce w miejscu \"usuni\u0119tego\" cz\u0142owieka pozostaje przezroczysty lub p\u00f3\u0142przezroczysty fantomowy \u015blad. Chodzi o to, \u017ce system analizuje tylko dost\u0119pne t\u0142o i na razie nie zawsze potrafi je poprawnie uzupe\u0142ni\u0107. To zale\u017cy od skomplikowania t\u0142a \u2013 im prostsze i jednorodne, tym lepszy ko\u0144cowy rezultat.<\/p>\n

Do testowania u\u017cywano systemu operacyjnego Ubuntu 16.04, Pythona 3.5, Pytorch 0.4.0, CUDA 8.0, a przetwarzanie odbywa\u0142o si\u0119 na karcie graficznej NVIDIA GeForce GTX 1080 Ti. Same \u017ar\u00f3d\u0142a s\u0105 otwarte i mog\u0105 by\u0107 wykorzystywane przez wszystkich. Nale\u017cy jednak zaznaczy\u0107, \u017ce taka technologia mo\u017ce by\u0107 r\u00f3wnie\u017c stosowana w niecnych celach. Na przyk\u0142ad, aby \"ukry\u0107\" \u0142amanie przepis\u00f3w ruchu drogowego lub inne przest\u0119pstwa uchwycone na kamerach.<\/p>\n

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\u0179r\u00f3d\u0142o: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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