{"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\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"P\u00ebrshtati nj\u00eb utilitar p\u00ebr t\u00eb hequr objekte n\u00eb l\u00ebvizje nga videoja.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Sot dit\u00ebn e sotme, p\u00ebr shum\u00eb njer\u00ebz, nuk \u00ebsht\u00eb m\u00eb nj\u00eb problem t\u00eb hiqet nj\u00eb element shqet\u00ebsues nga fotografia. Aft\u00ebsit\u00eb baz\u00eb n\u00eb Photoshop ose rrjetet neuronale q\u00eb jan\u00eb t\u00eb njohura sot mund t\u00eb zgjidhin k\u00ebt\u00eb problem. Megjithat\u00eb, n\u00eb rastin e videove, situata komplikohet, pasi duhet t\u00eb p\u00ebrpunosh t\u00eb pakt\u00ebn 24 \u043a\u0430\u0434\u0440\u0430 p\u00ebr \u00e7do sekond\u00eb video.<\/p>\n

\"P\u00ebrshtati<\/p>\n

Dhe ja n\u00eb Github ka dal\u00eb<\/a><\/noindex> nj\u00eb mjet q\u00eb automatizon k\u00ebto veprime, duke lejuar q\u00eb t\u00eb hiqen \u00e7do objekt n\u00eb l\u00ebvizje nga video. Mjafton t\u00eb dallohet objekti i tep\u00ebrt me nj\u00eb korniz\u00eb duke p\u00ebrdorur kursori, nd\u00ebrsa sistemi do t\u00eb b\u00ebj\u00eb gjith\u00e7ka tjet\u00ebr. Mjeti quhet n\u00eb m\u00ebnyr\u00eb t\u00eb thjesht\u00eb - 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 neuronale q\u00eb p\u00ebrpunon videon kad\u00ebr pas kadri, duke z\u00ebvend\u00ebsuar objektin ose njeriun e panevojsh\u00ebm me sfondin. Programs mund t\u00eb ndryshoj\u00eb deri n\u00eb 55 \u043a\u0430\u0434\u0440\u0430 n\u00eb sekond\u00eb, duke nd\u00ebrtuar sfondin n\u00eb baz\u00eb t\u00eb imazhit p\u00ebrreth. Edhe pse, kur shqyrtohet nga af\u00ebr, b\u00ebhet e qart\u00eb se metoda e heqjes s\u00eb objekteve nuk \u00ebsht\u00eb aspak ideale, rezultatet jan\u00eb mbres\u00ebl\u00ebn\u00ebse.<\/p>\n

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N\u00eb disa kadria duket se n\u00eb vend t\u00eb njeriut \"t\u00eb hequr\" mbetet nj\u00eb gjurm\u00eb transparente ose gjysm\u00eb transparente. Arsyeja \u00ebsht\u00eb se sistemi analizon vet\u00ebm sfondin e disponuesh\u00ebm dhe deri tani nuk mund t\u00eb rikrijoj\u00eb gjithmon\u00eb n\u00eb m\u00ebnyr\u00eb adekuate at\u00eb. Kjo varet nga kompleksiteti i sfondit - sa m\u00eb i thjesht\u00eb dhe homogjen t\u00eb jet\u00eb, aq m\u00eb i mir\u00eb \u00ebsht\u00eb rezultati p\u00ebrfundimtar.<\/p>\n

P\u00ebr testimin u p\u00ebrdor OS Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, nd\u00ebrsa p\u00ebrpunimi u b\u00eb n\u00eb kart\u00ebn grafike NVIDIA GeForce GTX 1080 Ti. Burimet origjinale jan\u00eb t\u00eb hapura dhe mund t\u00eb p\u00ebrdoren nga t\u00eb gjith\u00eb. N\u00eb k\u00ebt\u00eb rast, e theksojm\u00eb se kjo teknologji mund t\u00eb p\u00ebrdoret gjithashtu p\u00ebr q\u00ebllime t\u00eb keqija. P\u00ebr shembull, p\u00ebr t\u00eb \"fshehur\" shkeljet e rregullave t\u00eb trafikut ose krime t\u00eb tjera q\u00eb kan\u00eb shkrepur 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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