{"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\/sq\/blog\/novosti-interneta\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"P\u00ebrdit\u00ebsimi i fundit: nj\u00eb mjet p\u00ebr t\u00eb hequr objekte t\u00eb l\u00ebvizshme nga video","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Sot, p\u00ebr shum\u00ebk\u00ebnd, heqja e elementeve q\u00eb pengojn\u00eb nga fotografia nuk \u00ebsht\u00eb m\u00eb nj\u00eb problem. Aft\u00ebsit\u00eb themelore n\u00eb Photoshop ose p\u00ebrdorimi i rrjeteve nervore moderne mund ta zgjidhin k\u00ebt\u00eb problem. Megjithat\u00eb, kur b\u00ebhet fjal\u00eb p\u00ebr video, situata komplikohet, pasi duhet t\u00eb p\u00ebrpunohen t\u00eb pakt\u00ebn 24 kadra p\u00ebr \u00e7do sekond\u00eb video.<\/p>\n

\"P\u00ebrdit\u00ebsimi<\/p>\n

Dhe k\u00ebtu \u00ebsht\u00eb n\u00eb Github ka arritur<\/a><\/noindex> nj\u00eb utilitar q\u00eb automatizon k\u00ebto veprime, duke lejuar t\u00eb hiqni \u00e7do objekt t\u00eb l\u00ebvizsh\u00ebm nga video. Mjafton t\u00eb sh\u00ebnonit objektin e tep\u00ebrt me nj\u00eb kufiz\u00eb p\u00ebrmes kursorit, dhe sistemi do t\u00eb b\u00ebj\u00eb gjith\u00e7ka tjet\u00ebr. Emri i utilitarit \u00ebsht\u00eb mjaft i thjesht\u00eb \u2014 video-object-removal. Megjithat\u00eb, n\u00eb baz\u00eb t\u00eb tij q\u00ebndrojn\u00eb teknologji t\u00eb avancuara.<\/p>\n

Sistemi p\u00ebrdor nj\u00eb rrjet nervor q\u00eb p\u00ebrpunon video p\u00ebr kadra, duke z\u00ebvend\u00ebsuar objektin ose njeriun e panevojsh\u00ebm me sfond. Programi mund t\u00eb ndryshoj\u00eb deri n\u00eb 55 kadra n\u00eb sekond\u00eb, duke rikonstruktuar sfondin n\u00eb baz\u00eb t\u00eb imazhit p\u00ebrreth. Edhe pse me nj\u00eb v\u00ebshtrim m\u00eb t\u00eb af\u00ebrt e kupton se metoda e heqjes s\u00eb objekteve nuk \u00ebsht\u00eb perfekte, rezultatet jan\u00eb t\u00eb impresionuese.<\/p>\n

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

N\u00eb disa kadra shihet se n\u00eb vendin e personit \u00abt\u00eb hequr\u00bb mbetet nj\u00eb gjurm\u00eb transparente ose polu-tranzparente. Arsyetimi \u00ebsht\u00eb se sistemi analizon vet\u00ebm sfondin e disponuesh\u00ebm dhe p\u00ebr momentin nuk \u00ebsht\u00eb gjithmon\u00eb n\u00eb gjendje t\u00eb rikrijoj\u00eb at\u00eb si\u00e7 duhet. Kjo varet nga kompleksiteti i sfondit \u2014 sa m\u00eb i thjesht\u00eb e m\u00eb homogjen t\u00eb jet\u00eb, aq m\u00eb mir\u00eb \u00ebsht\u00eb rezultati p\u00ebrfundimtar.<\/p>\n

P\u00ebr testimin u p\u00ebrdor sistemi operativ Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, dhe p\u00ebrpunimi u b\u00eb n\u00eb kart\u00ebn grafike NVIDIA GeForce GTX 1080 Ti. Burimet jan\u00eb t\u00eb hapura dhe mund t\u00eb p\u00ebrdoren nga t\u00eb gjith\u00eb. Megjithat\u00eb, duhet theksuar se nj\u00eb teknologji e till\u00eb mund t\u00eb p\u00ebrdoret edhe p\u00ebr q\u00ebllime keqdash\u00ebse. P\u00ebr shembull, p\u00ebr t\u00eb \u00abfshehur\u00bb shkeljet e rregullave t\u00eb trafikut ose krime t\u00eb tjera q\u00eb kan\u00eb kapur kamerat.<\/p>\n

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

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