{"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\/ro\/blog\/news\/poyavilas-utilita-dlya-udaleniya-dvizhushhihsya-obektov-s-video","title":{"rendered":"A ap\u0103rut un utilitar pentru eliminarea obiectelor \u00een mi\u0219care din video","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00cen prezent, pentru mul\u021bi, nu mai este o problem\u0103 s\u0103 elimine un element deranjant din fotografii. Abilit\u0103\u021bile de baz\u0103 \u00een Photoshop sau re\u021belele neuronale la mod\u0103 de ast\u0103zi pot rezolva aceast\u0103 problem\u0103. Totu\u0219i, \u00een cazul videoclipurilor, situa\u021bia se complic\u0103, deoarece trebuie procesate cel pu\u021bin 24 de cadre pe secund\u0103.<\/p>\n<p><img decoding=\"async\" alt=\"A ap\u0103rut un utilitar pentru eliminarea obiectelor \u00een mi\u0219care din video\" src=\"\/wp-content\/uploads\/2019\/07\/d5eb6141eb27622619ff42bbbdbc9159.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Iat\u0103 c\u0103 pe Github <noindex><a rel=\"nofollow noopener noreferrer\" href=\"https:\/\/github.com\/zllrunning\/video-object-removal\" target=\"_blank\">a ap\u0103rut<\/a><\/noindex> un utilitar, care automatizeaz\u0103 aceste ac\u021biuni, permi\u021b\u00e2nd eliminarea oric\u0103ror obiecte \u00een mi\u0219care din video. Este suficient s\u0103 selectezi obiectul nedorit cu ajutorul cursorului, iar sistemul va face tot restul. Utilitarul se nume\u0219te simplu video-object-removal. Totu\u0219i, la baza sa stau tehnologii avansate.<\/p>\n<p>Sistemul folose\u0219te o re\u021bea neuronal\u0103 care proceseaz\u0103 videoclipul cadru cu cadru, \u00eenlocuind obiectul sau persoana nedorit\u0103 cu un fundal. Programul poate schimba p\u00e2n\u0103 la 55 de cadre pe secund\u0103, complet\u00e2nd fundalul pe baza imaginii \u00eenconjur\u0103toare. De\u0219i, la o examinare mai atent\u0103, devine clar c\u0103 metoda de eliminare a obiectelor nu este deloc ideal\u0103, rezultatele sunt impresionante.<\/p>\n<p><center><\/center><\/p>\n<p>\u00cen unele cadre se observ\u0103 c\u0103 \u00een locul persoanei &laquo;eliminate&raquo; r\u0103m\u00e2ne o urm\u0103 fantomatic\u0103 transparent\u0103 sau semi-transparent\u0103. Motivul este c\u0103 sistemul analizeaz\u0103 doar fundalul disponibil \u0219i, p\u00e2n\u0103 acum, nu poate reconstitui \u00eentotdeauna adecvat. Acest lucru depinde de complexitatea fundalului \u2014 cu c\u00e2t este mai simplu \u0219i omogen, cu at\u00e2t mai bun este rezultatul final.<\/p>\n<p>Pentru teste s-a folosit sistemul de operare Ubuntu 16.04, Python 3.5, Pytorch 0.4.0, CUDA 8.0, iar procesarea s-a realizat pe placa video NVIDIA GeForce GTX 1080 Ti. Sursele sunt deschise \u0219i pot fi folosite de toat\u0103 lumea. \u00cen acela\u0219i timp, men\u021bion\u0103m c\u0103 aceast\u0103 tehnologie poate fi utilizat\u0103 \u0219i \u00een scopuri mali\u021bioase. De exemplu, pentru a &laquo;ascunde&raquo; \u00eenc\u0103lc\u0103rile regulilor de circula\u021bie sau alte crime capturate de camere.<\/p>\n<p><center><\/p>\n<p><\/center><\/p>\n<p>\t\t\t\t<center><br \/>\n\t\t\t\t\t\t\t\t<\/center><br \/>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"http:\/\/www.3dnews.ru\/990929\">3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041d\u0430 \u0441\u0435\u0433\u043e\u0434\u043d\u044f\u0448\u043d\u0438\u0439 \u0434\u0435\u043d\u044c \u0434\u043b\u044f \u043c\u043d\u043e\u0433\u0438\u0445 \u0443\u0436\u0435 \u043d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u043e\u0439 \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u0435 \u043c\u0435\u0448\u0430\u044e\u0449\u0435\u0433\u043e \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430 \u0441 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0438. \u0411\u0430\u0437\u043e\u0432\u044b\u0435 \u043d\u0430\u0432\u044b\u043a\u0438 \u0440\u0430\u0431\u043e\u0442\u044b \u0432 Photoshop \u0438\u043b\u0438 \u043c\u043e\u0434\u043d\u044b\u0435 \u0441\u0435\u0433\u043e\u0434\u043d\u044f \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438 \u043c\u043e\u0433\u0443\u0442 \u0440\u0435\u0448\u0438\u0442\u044c \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443. \u041e\u0434\u043d\u0430\u043a\u043e \u0432 \u0441\u043b\u0443\u0447\u0430\u0435 \u0441 \u0432\u0438\u0434\u0435\u043e \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u044f \u043e\u0441\u043b\u043e\u0436\u043d\u044f\u0435\u0442\u0441\u044f, \u0432\u0435\u0434\u044c \u043d\u0443\u0436\u043d\u043e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043c\u0438\u043d\u0438\u043c\u0443\u043c 24 \u043a\u0430\u0434\u0440\u0430 \u043d\u0430 \u043e\u0434\u043d\u0443 \u0441\u0435\u043a\u0443\u043d\u0434\u0443 \u0432\u0438\u0434\u0435\u043e. \u0418 \u0432\u043e\u0442 \u043d\u0430 Github \u043f\u043e\u044f\u0432\u0438\u043b\u0430\u0441\u044c \u0443\u0442\u0438\u043b\u0438\u0442\u0430, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u0443\u0435\u0442 \u044d\u0442\u0438 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044f \u0443\u0434\u0430\u043b\u044f\u0442\u044c [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27136,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - 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