{"id":85284,"date":"2020-06-14T19:42:01","date_gmt":"2020-06-14T17:42:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov"},"modified":"2020-06-14T19:42:01","modified_gmt":"2020-06-14T17:42:01","slug":"pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","title":{"rendered":"PIFu \u2014 masin\u00f5ppe s\u00fcsteem 3D-inimese mudeli loomiseks 2D-piltide p\u00f5hjal","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Mitme Ameerika \u00fclikooli teadlaste r\u00fchm avaldas projekti <noindex><a rel=\"nofollow\" href=\"https:\/\/shunsukesaito.github.io\/PIFu\/\">PIFu<\/a><\/noindex> (Pixel-Aligned Implicit Function), mis v\u00f5imaldab rakendada masin\u00f5ppe meetodeid inimese 3D mudeli loomiseks \u00fche v\u00f5i mitme kahes m\u00f5\u00f5tmes pildi p\u00f5hjal. S\u00fcsteem suudab taastada keerulisi riidevariatsioone, nagu volditud seelikud ja k\u00f5rgematel kontsadel kingad, ning erinevaid soenguid, iseseisvalt taastades tekstuuri ja kuju piirkondades, mis j\u00e4\u00e4vad n\u00e4htamatuks 3D mudeli loomise projektsioonis. L\u00f5pliku 3D mudeli kvaliteedi ja detailide suurendamiseks saab kasutada mitmeid pilte erinevates nurkades. Projekti kood on kirjutatud Python keeles, kasutades PyTorch raamistiku <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/shunsukesaito\/PIFu\">GNU \u00dcldine Avaliku litsentsi alusel.<\/a><\/noindex> on MIT litsentsi all.<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/camo.githubusercontent.com\/ee8acc83725679402962ce2bd895b0df21101cb7\/68747470733a2f2f7368756e73756b65736169746f2e6769746875622e696f2f504946752f7265736f75726365732f696d616765732f7465617365722e706e67\"><img decoding=\"async\" alt=\"PIFu - tehisintellekti s\u00fcsteem, mis loob 3D-mudeli inimesest 2D-piltide p\u00f5hjal\" src=\"\/wp-content\/uploads\/2020\/06\/3ecd5a645f696cfb3513ca7ab004ee0b.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p>K\u00e4ideldava ruumilise mudeli rekonstrueerimiseks kasutatakse n\u00e4rviv\u00f5rku, mis v\u00f5imaldab valida k\u00f5ige t\u00f5en\u00e4olisema vormi ja t\u00e4iendada peidetud elemente, tuginedes mudelile, mis on koolitatud erinevate olemasolevate objektide variatsioonide p\u00f5hjal. Samal ajal pakub projekt algoritmi, mis sobitab saadud ruumilise mudeli esitatud kahe dimensiooni piltide tekstuuridega, joondades 2D-pildi pikslid vastavalt nende asendile 3D-objektil ja genereerides k\u00f5ige t\u00f5en\u00e4olisemad puuduvad tekstuurid. Pildi kodeerimiseks v\u00f5ib kasutada mis tahes <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%A1%D0%B2%D1%91%D1%80%D1%82%D0%BE%D1%87%D0%BD%D0%B0%D1%8F_%D0%BD%D0%B5%D0%B9%D1%80%D0%BE%D0%BD%D0%BD%D0%B0%D1%8F_%D1%81%D0%B5%D1%82%D1%8C\">kogumismeetri n\u00e4rviv\u00f5rku<\/a><\/noindex>, et<br \/>\npinnaarvconstructioni pinnale on rakendatud arhitektuur &#171;<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/princeton-vl\/pose-hg-demo\">Stacked hourglass<\/a><\/noindex>&#171;, a<br \/>\n tekstuuride sobitamiseks on kaasatud n\u00e4rviv\u00f5rk, mis p\u00f5hineb arhitektuuril <noindex><a rel=\"nofollow\" href=\"https:\/\/junyanz.github.io\/CycleGAN\/\">CycleGAN<\/a><\/noindex>.<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/shunsukesaito.github.io\/PIFu\/resources\/images\/overview.png\"><img decoding=\"async\" alt=\"PIFu - tehisintellekti s\u00fcsteem, mis loob 3D-mudeli inimesest 2D-piltide p\u00f5hjal\" src=\"\/wp-content\/uploads\/2020\/06\/c927107e79304e71f00fd75a81c40e23.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p>Uuringute k\u00e4igus rakendatud valmis koolitatud mudel <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/shunsukesaito\/PIFu\/blob\/master\/scripts\/download_trained_model.sh\">saadaval<\/a><\/noindex> vaba allalaadimiseks, kuid originaalandmed, millel koolitus toimus, j\u00e4\u00e4vad kinniseks, kuna need p\u00f5hinevad kommertslike 3D-skaneerimise tulemustel. Iseseisva mudeli koolitamiseks v\u00f5ib kasutada <noindex><a rel=\"nofollow\" href=\"https:\/\/renderpeople.com\/free-3d-people\/\">3D-mudelite andmebaasi<\/a><\/noindex> inimesi projektist Renderpeople.<\/p>\n<p><center><div class=\"youtube-placeholder\" data-id=\"S1FpjwKqtPs\" onclick=\"loadVideo(this)\">\r\n        <img decoding=\"async\" src=\"https:\/\/img.youtube.com\/vi\/S1FpjwKqtPs\/hqdefault.jpg\" alt=\"Vaata videot\" loading=\"lazy\" width=\"480\" height=\"360\" style=\"width:100%;height:auto;\">\r\n        <div class=\"play-button\"><\/div>\r\n    <\/div><\/center><\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Allikas: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=53152\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0413\u0440\u0443\u043f\u043f\u0430 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438\u0437 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0430\u043c\u0435\u0440\u0438\u043a\u0430\u043d\u0441\u043a\u0438\u0445 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u043e\u0432 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u043f\u0440\u043e\u0435\u043a\u0442 PIFu (Pixel-Aligned Implicit Function), \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043e\u0434\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f 3D-\u043c\u043e\u0434\u0435\u043b\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0438\u043b\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0434\u0432\u0443\u043c\u0435\u0440\u043d\u044b\u043c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c. \u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u043e\u0441\u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u043e\u0434\u0435\u0436\u0434\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u044e\u0431\u043a\u0438 \u0441\u043e \u0441\u043a\u043b\u0430\u0434\u043a\u0430\u043c\u0438 \u0438 \u0442\u0443\u0444\u043b\u0438 \u043d\u0430 \u043a\u0430\u0431\u043b\u0443\u043a\u0430\u0445, \u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043f\u0440\u0438\u0447\u0451\u0441\u043a\u0438, \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e \u0432\u043e\u0441\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u044f \u0442\u0435\u043a\u0441\u0442\u0443\u0440\u0443 \u0438 \u0444\u043e\u0440\u043c\u0443 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u0445, \u043d\u0435\u0432\u0438\u0434\u0438\u043c\u044b\u0445 \u0432 \u043f\u0440\u043e\u0435\u043a\u0446\u0438\u0438, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":85285,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-85284","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0413\u0440\u0443\u043f\u043f\u0430 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