{"id":181876,"date":"2026-06-03T14:48:10","date_gmt":"2026-06-03T12:48:12","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/open-image-denoise-2-5-0"},"modified":"2026-06-03T14:48:10","modified_gmt":"2026-06-03T12:48:12","slug":"open-image-denoise-2-5-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hr\/blog\/news\/open-image-denoise-2-5-0","title":{"rendered":"Open Image Denoise 2.5.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23526\/original.jpg\"><br \/>\n          <img decoding=\"async\" src=\"\/wp-content\/uploads\/2026\/06\/a19a90ab7be9bd36c21c4f3e9382d832.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n        <\/a><\/p>\n<p>        <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23527\/original.jpg\"><br \/>\n          <img decoding=\"async\" src=\"\/wp-content\/uploads\/2026\/06\/cdb3fa8be6c82b17b51bfa33cb252081.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n        <\/a><\/p>\n<p><noindex>          <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23526\/original.jpg\" class=\"active\"><\/a><\/noindex><\/p>\n<p>          <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23527\/original.jpg\"><\/a><\/p>\n<p>Objavljen je novi izdanja <strong>Open Image Denoise 2.5.0<\/strong> \u2014 slobodne biblioteke Intel za uklanjanje \u0161uma s slika dobivenih putem osvjetljavanja te\u017einom. Projekt se distribuira pod licencom <strong>Apache 2.0<\/strong> i dio je Intel Rendering Toolkit. Izdanje v2.5.0 je objavljeno na GitHubu <strong>2. lipnja 2026. godine<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> namijenjen je uklanjanju \u0161uma Monte Carlo, karakteristi\u010dnog za stohasti\u010dke metode renderiranja, uklju\u010duju\u0107i pat radijaciju. Knji\u017enica pru\u017ea C\/C++ API i set neuronskih filtara, koji mogu raditi samo s bojom ili dodatnim ispustom poput <strong>albedo<\/strong> i <strong>normal<\/strong>, kako bi bolje sa\u010duvala detalje slike.<\/p>\n<p><\/noindex><\/p>\n<p>Glavna promjena verzije 2.5.0 je zna\u010dajna optimizacija performansi i smanjenje potro\u0161nje memorije na <strong>Intel GPU s podr\u0161kom za XMX<\/strong> i na procesorima s <strong>AMX-FP16<\/strong>. Razvijatelji nisu naveli konkretne brojke o ubrzanju, ali su posebno naglasili ovo kao glavnu promjenu na popisu izdanja.<\/p>\n<h4>Glavne promjene Open Image Denoise 2.5.0<\/h4>\n<ul>\n<li>\n<p><strong>Ubrzanje na Intel GPU s XMX.<\/strong><br \/>\nBiblioteka je postala br\u017ea i pametnija na grafi\u010dkim procesorima Intel na kojima su dostupna matri\u010dna pro\u0161irenja XMX. Ovo je va\u017eno za interaktivni pregled i kona\u010dno renderiranje, gdje se uklanjanje \u0161uma mo\u017ee izvoditi vi\u0161e puta tijekom sakupljanja uzoraka.<\/p>\n<\/li>\n<li>\n<p><strong>Optimizacija za CPU s AMX-FP16.<\/strong><br \/>\nPobolj\u0161an rad na Intel procesorima s podr\u0161kom za AMX-FP16. Ove instrukcije se koriste za ubrzavanje matri\u010dnih operacija, \u0161to je dobro za neuronske filtre za uklanjanje \u0161uma.<\/p>\n<\/li>\n<li>\n<p><strong>API za uvoz vanjskih semafora iz grafi\u010dkih API-ja.<\/strong><br \/>\nDodano su\u010delje za uvoz vanjskih semafora iz Vulkan, Direct3D 12 i drugih grafi\u010dkih API-ja. Sada se to podr\u017eava za CUDA ure\u0111aje u Windowsu i Linuxu, kao i za HIP ure\u0111aje u Windowsu; podr\u0161ka za SYCL ure\u0111aje obe\u0107ana je u jednoj od budu\u0107ih verzija.<\/p>\n<\/li>\n<li>\n<p><strong>Zastavica za vanjsku memoriju s dodijeljenim smje\u0161tajem.<\/strong><br \/>\nDodana OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. Ova se zastavica mora kombinirati s zastavicom tipa deskriptora pri uvozu vanjske memorije dodijeljene kao dodijeljena alokacija. Ova promjena je va\u017ena za niskonivensku integraciju OIDN s pokreta\u010dima i grafi\u010dkim API-jem.<\/p>\n<\/li>\n<li>\n<p><strong>Ispravka o\u0161te\u0107enog izlaza na Apple M5 Pro\/Max.<\/strong><br \/>\nU Metal backend-u ispravljena je gre\u0161ka koja je uzrokovala da na GPU Apple M5 Pro i M5 Max nastaje o\u0161te\u0107eni rezultat.<\/p>\n<\/li>\n<li>\n<p><strong>Ispravka ru\u0161enja u Metalu.<\/strong><br \/>\nOtklonjen je kvar povezan s prekomjernim osloba\u0111anjem MTLDevice. Gre\u0161ka se mogla pojaviti nakon vi\u0161ekratnog stvaranja i uni\u0161tavanja ure\u0111aja.<\/p>\n<\/li>\n<li>\n<p><strong>Ispravke za otkrivanje ure\u0111aja u sustavu Windows.<\/strong><br \/>\nIspravljena gre\u0161ka zbog koje je mogla do\u0107i do kvara u otkrivanju ure\u0111aja ili ru\u0161enja uz prisutnost nekih starijih Intel grafi\u010dkih drajvera u sustavu Windows. Za ovu ispravku potrebna je verzija sa <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Open Image Denoise podr\u017eava CPU x86-64 sa SSE4.1, ARM64, GPU Intel Xe\/Xe2\/Xe3, NVIDIA Turing\/Ampere\/Ada\/Hopper\/Blackwell, AMD RDNA 2\/3\/3.5\/4 i Apple Silicon GPU po\u010dev\u0161i od M1. Za GPU backendove potrebni su a\u017eurirani drajveri, a za Apple GPU - macOS Ventura ili noviji.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 ovo nije funkcionalno veliko izdanje za krajnje korisnike, ve\u0107 va\u017ena infrastrukturna nadogradnja: br\u017ee radi na novom Intel hardveru, bolje se integrira s grafi\u010dkim API-ima i ispravlja nekoliko platformskih problema u Metal-u i Windows-u.<\/p>\n<p>Izvor: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/news\/opensource\/18309800\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 Open Image Denoise 2.5.0 \u2014 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 Intel \u0434\u043b\u044f \u043f\u043e\u0434\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0445 \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u043e\u0439 \u043b\u0443\u0447\u0435\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0 \u0438 \u0432\u0445\u043e\u0434\u0438\u0442 \u0432 \u0441\u043e\u0441\u0442\u0430\u0432 Intel Rendering Toolkit. \u0420\u0435\u043b\u0438\u0437 v2.5.0 \u0431\u044b\u043b \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043d\u0430 GitHub 2 \u0438\u044e\u043d\u044f 2026 \u0433\u043e\u0434\u0430. Open Image Denoise \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u041c\u043e\u043d\u0442\u0435-\u041a\u0430\u0440\u043b\u043e, \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0441\u0442\u043e\u0445\u0430\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0440\u0435\u043d\u0434\u0435\u0440\u0438\u043d\u0433\u0430, \u0432\u043a\u043b\u044e\u0447\u0430\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-181876","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - 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