{"id":38674,"date":"2019-10-31T22:25:15","date_gmt":"2019-10-31T19:25:15","guid":{"rendered":"https:\/\/prohoster.info\/blog\/otkryt-kod-dlya-sinteza-animatsii-s-pomoshhyu-nejrosetej\/"},"modified":"2019-10-31T22:25:15","modified_gmt":"2019-10-31T19:25:15","slug":"otkryt-kod-dlya-sinteza-animatsii-s-pomoshhyu-nejrosetej","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/otkryt-kod-dlya-sinteza-animatsii-s-pomoshhyu-nejrosetej","title":{"rendered":"Kode i hapur p\u00ebr sinkronizimin e animacioneve me ndihm\u00ebn e rrjeteve nevrale","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Nj\u00eb grup hulumtuesish nga Universiteti Teknik i Shangait publikoi<\/a><\/noindex> mjet Imituesi<\/a><\/noindex>, i cili p\u00ebrmes metodave t\u00eb m\u00ebsimit t\u00eb makin\u00ebs simuler l\u00ebvizjet e njer\u00ebzve n\u00eb imazhe statike, si dhe z\u00ebvend\u00ebson veshjet, i transferon n\u00eb nj\u00eb nd\u00ebrlikim tjet\u00ebr dhe ndryshon k\u00ebndin nga i cili objekti \u00ebsht\u00eb i duksh\u00ebm. Kodi \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python
\nduke p\u00ebrdorur framework-un PyTorch<\/a><\/noindex>. Gjithashtu nevojitet torchvision<\/a><\/noindex> dhe CUDA Toolkit. <\/p>\n

\"Kode<\/center><\/p>\n

Instrumenti merr si input nj\u00eb imazh dy-dimensional dhe sintetizon rezultatin e ndryshuar mbi baz\u00ebn e modelit t\u00eb zgjedhur. Mb\u00ebshteten tre variante t\u00eb transformimeve:
\nKrijimi i nj\u00eb objekti n\u00eb l\u00ebvizje q\u00eb p\u00ebrs\u00ebrit l\u00ebvizjet p\u00ebr t\u00eb cilat \u00ebsht\u00eb trajnuar modeli. Transferimi i elementeve t\u00eb pamjes nga modeli n\u00eb objekt (p\u00ebr shembull, ndryshimi i veshjeve). Gjenerimi i nj\u00eb k\u00ebndi t\u00eb ri (p\u00ebr shembull, sintetizimi i imazhit nga profili mbi baz\u00ebn e nj\u00eb fotografie nga p\u00ebrpara). T\u00eb tri metodat mund t\u00eb kombinohen, p\u00ebr shembull, mund t\u00eb gjeneroni nj\u00eb video nga fotografia q\u00eb imiton ekzekutimin e nj\u00eb truku akrobatik t\u00eb v\u00ebshtir\u00eb n\u00eb nj\u00eb veshje tjet\u00ebr. <\/p>\n

\r\n \"Luaj\r\n
<\/div>\r\n <\/div><\/center><\/p>\n

Gjat\u00eb procesit t\u00eb sintez\u00ebs, kryhen nj\u00ebkoh\u00ebsisht operacione p\u00ebr ndarjen e objekteve n\u00eb fotografi dhe formimin e elementeve t\u00eb munguar t\u00eb sfondit gjat\u00eb l\u00ebvizjes. Modeli p\u00ebr rrjetin nervor mund t\u00eb trajnohet nj\u00eb her\u00eb dhe t\u00eb p\u00ebrdoret p\u00ebr transformime t\u00eb ndryshme. P\u00ebr ngarkimin e t\u00eb disponueshme<\/a><\/noindex> modeleve t\u00eb gatshme, t\u00eb cilat lejojn\u00eb p\u00ebrdorimin e mjeteve menj\u00ebher\u00eb, pa nj\u00eb trajnim t\u00eb m\u00ebparsh\u00ebm. P\u00ebrdorimi k\u00ebrkon nj\u00eb GPU me nj\u00eb madh\u00ebsi memorie prej t\u00eb pakt\u00ebn 8GB.<\/p>\n

Ndryshe nga metodologjit\u00eb e transformimit q\u00eb bazohen n\u00eb transformimin sipas pikave ky\u00e7e q\u00eb p\u00ebrshkruajn\u00eb pozicionin e trupit n\u00eb hap\u00ebsir\u00ebn dy-dimensionale, n\u00eb Impersonator \u00ebsht\u00eb b\u00ebr\u00eb nj\u00eb p\u00ebrpjekje p\u00ebr sintez\u00ebn e nj\u00eb rrjete tre-dimensionale (mesh) me p\u00ebrshkrimin e trupit, duke p\u00ebrdorur metoda t\u00eb m\u00ebsimit t\u00eb makinerive.
\nMetoda e propozuar lejon manipulime q\u00eb marrin parasysh form\u00ebn e personalizuar t\u00eb trupit dhe poz\u00ebn aktuale, duke simuluar l\u00ebvizjet natyrale t\u00eb ekstremiteteve. <\/p>\n

\"Kode<\/a><\/noindex><\/center><\/p>\n

P\u00ebr t\u00eb ruajtur informacionin origjinal, si tekstura, stili, ngjyrat dhe njohja e fytyr\u00ebs, gjat\u00eb procesit t\u00eb transformimit aplikohet rrjeti nervor generativ dhe konkurrues<\/a><\/noindex> (Liquid Warping GAN<\/a><\/noindex>). Informacioni mbi objektin burimor dhe parametrat p\u00ebr identifikimin e sakt\u00eb t\u00eb tij nxirren duke aplikuar rrjetin nervor konvolucional<\/a><\/noindex>.<\/p>\n

\r\n \"Luaj\r\n
<\/div>\r\n <\/div>
\n<\/center><\/p>\n

<\/a><\/noindex><\/p>\n

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

\u0413\u0440\u0443\u043f\u043f\u0430 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438\u0437 \u0448\u0430\u043d\u0445\u0430\u0439\u0441\u043a\u043e\u0433\u043e \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 Impersonator, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043f\u0440\u0438 \u043f\u043e\u043c\u043e\u0449\u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0441\u0438\u043c\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u0432\u0438\u0436\u0435\u043d\u0438\u044f \u043b\u044e\u0434\u0435\u0439 \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0437\u0430\u043c\u0435\u043d\u044f\u0442\u044c \u043e\u0434\u0435\u0436\u0434\u0443, \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0438\u0442\u044c \u0432 \u0434\u0440\u0443\u0433\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u0438 \u043c\u0435\u043d\u044f\u0442\u044c \u0440\u0430\u043a\u0443\u0440\u0441 \u0441 \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u0432\u0438\u0434\u0435\u043d \u043e\u0431\u044a\u0435\u043a\u0442. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch. \u0414\u043b\u044f \u0441\u0431\u043e\u0440\u043a\u0438 \u0442\u0430\u043a\u0436\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f torchvision \u0438 CUDA Toolkit. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u0442 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":29010,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-38674","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Kodi i hapur p\u00ebr sintez\u00ebn e animacioneve me ndihm\u00ebn e rrjeteve neurale | ProHoster","description":"Nj\u00eb grup hulumtuesish nga Universiteti Teknik i Shangait publikoi mjeftekuptimin Impersonator, i cili lejon duke p\u00ebrdorur metodat e m\u00ebsimit t\u00eb makinerive p\u00ebr t\u00eb simuluar l\u00ebvizjet e njer\u00ebzve n\u00eb imazhe statike, si dhe p\u00ebr t\u00eb nd\u00ebrruar veshjet, p\u00ebr t\u00eb transferuar n\u00eb nj\u00eb ambient tjet\u00ebr dhe p\u00ebr t\u00eb ndryshuar k\u00ebndin nga i cili shihet objekti. 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