{"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\/sl\/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 izdanak <strong>Open Image Denoise 2.5.0<\/strong> \u2014 svobodne knji\u017enice Intel za odpravo \u0161uma na slikah, pridobljenih s sledenjem \u017earkom. Projekt se distribuira pod licenco <strong>Apache 2.0<\/strong> in je del Intel Rendering Toolkit. Izdaja v2.5.0 je bila objavljena na GitHubu <strong>2. junija 2026<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> je namenjen odstranjevanju \u0161uma Monte Carlo, ki je zna\u010dilen za stohasti\u010dne metode renderiranja, vklju\u010dno s path tracingom. Knji\u017enica zagotavlja C\/C++ API in nabor nevronskih filtrov, ki lahko delujejo tako z barvnim hladilnikom kot z dodatnimi hladilniki, kot so <strong>albedo<\/strong> in <strong>normal<\/strong>, da bolje ohranja podrobnosti slik.<\/p>\n<p><\/noindex><\/p>\n<p>Glavna sprememba razli\u010dice 2.5.0 je opazna optimizacija zmogljivosti in zmanj\u0161anje porabe pomnilnika na <strong>Intel GPU z XMX podporo<\/strong> in na procesorjih z <strong>AMX-FP16.<\/strong>Razvijalci niso navedli konkretnih \u0161tevil zagonov, a so to posebej izpostavili kot prvo spremembo v seznamu izdaj.<\/p>\n<h4>Glavne spremembe Open Image Denoise 2.5.0<\/h4>\n<ul>\n<li>\n<p><strong>Pospe\u0161ek na Intel GPU z XMX.<\/strong><br \/>\nKnji\u017enica je postala hitrej\u0161a in var\u010dnej\u0161a pri pomnilniku na grafi\u010dnih procesorjih Intel, kjer so na voljo matrikasta raz\u0161iritve XMX. To je pomembno za interaktivni predogled in kon\u010dno renderiranje, kjer se lahko odprava \u0161uma izvaja ve\u010dkrat med akumulacijo vzorcev.<\/p>\n<\/li>\n<li>\n<p><strong>Optimizacija za CPU z AMX-FP16.<\/strong><br \/>\nIzbolj\u0161ano delovanje na procesorjih Intel s podporo AMX-FP16. Tak\u0161ne instrukcije se uporabljajo za pospe\u0161evanje matrikastih operacij, kar se dobro ujema z nevronskimi filtri za odpravo \u0161uma.<\/p>\n<\/li>\n<li>\n<p><strong>API za uvoz zunanjih semaforjev iz grafi\u010dnih API.<\/strong><br \/>\nDodano je vmesnik za uvoz zunanjih semaforjev iz Vulkan, Direct3D 12 in drugih grafi\u010dnih API. To je trenutno podprto za CUDA naprave v Windows in Linux, prav tako pa tudi za HIP naprave v Windows; podpora za SYCL naprave je obljubljena v eni od prihodnjih razli\u010dic.<\/p>\n<\/li>\n<li>\n<p><strong>Zastavica za zunanji pomnilnik s posebno dodelitvijo.<\/strong><br \/>\nDodano je OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. To je treba kombinirati z zastavico tipa descriptor pri uvozu zunanjega pomnilnika, dodeljenega kot posebna dodelitev. Ta sprememba je pomembna za nizko nivojsko integracijo OIDN z mehanizmi in grafi\u010dnimi API.<\/p>\n<\/li>\n<li>\n<p><strong>Popravilo po\u0161kodovanega izhoda na Apple M5 Pro\/Max.<\/strong><br \/>\nV Metal vmesniku je bila odpravljena te\u017eava, zaradi katere so na GPU Apple M5 Pro in M5 Max lahko nastali po\u0161kodovani rezultati.<\/p>\n<\/li>\n<li>\n<p><strong>Popravilo neprekinjenega zaklju\u010devanja v Metal.<\/strong><br \/>\nNapaka, povezana z nepotrebnim spro\u0161\u010danjem MTLDevice, je bila odpravljena. Te\u017eava se je lahko pojavila po ve\u010dkratnem ustvarjanju in uni\u010devanju naprav.<\/p>\n<\/li>\n<li>\n<p><strong>Popravki za zaznavanje naprav v sistemu Windows.<\/strong><br \/>\nOdpravljena je bila napaka, zaradi katere je pri nekaterih starej\u0161ih gonilnikih za integrirano grafiko Intel v sistemu Windows lahko pri\u0161lo do napake pri zaznavanju naprave ali njene nenamerne ustavitve. Za to popravilo je potrebna razli\u010dica <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Open Image Denoise podpira CPU x86-64 s SSE4.1, ARM64, GPU Intel Xe\/Xe2\/Xe3, NVIDIA Turing\/Ampere\/Ada\/Hopper\/Blackwell, AMD RDNA 2\/3\/3.5\/4 in Apple Silicon GPU od modela M1 naprej. Za GPU-ozadja so potrebni a\u017eurirani gonilniki, za Apple GPU pa macOS Ventura ali novej\u0161a razli\u010dica.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 ne gre za funkcionalno obse\u017eno razli\u010dico za kon\u010dnega uporabnika, temve\u010d bolj za pomembno infrastrukturno posodobitev: hitreje deluje na novi strojni opremi Intel, bolje se integrira z grafi\u010dnimi API in odpravi ve\u010d platformskih te\u017eav v Metal in Windows.<\/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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