{"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\/cs\/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>Byl zve\u0159ejn\u011bn nov\u00fd vyd\u00e1n\u00ed <strong>Open Image Denoise 2.5.0<\/strong> \u2014 knihovny Intel pro odstra\u0148ov\u00e1n\u00ed \u0161umu na obr\u00e1zc\u00edch z\u00edskan\u00fdch trasov\u00e1n\u00edm paprsk\u016f. Projekt je \u0161\u00ed\u0159en pod licenc\u00ed <strong>Apache 2.0<\/strong> a je sou\u010d\u00e1st\u00ed Intel Rendering Toolkit. Verze v2.5.0 byla zve\u0159ejn\u011bna na GitHubu <strong>2. \u010dervna 2026<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> je navr\u017eena k odstran\u011bn\u00ed \u0161umu Monte Carlo, kter\u00fd je charakteristick\u00fd pro stochastick\u00e9 metody renderov\u00e1n\u00ed, v\u010detn\u011b path tracingu. Knihovna poskytuje C\/C++ API a sadu neuronov\u00fdch filtr\u016f, kter\u00e9 mohou pracovat jak s barevn\u00fdm bufferm, tak s dal\u0161\u00edmi buffery, jako jsou <strong>albedo<\/strong> a <strong>normal<\/strong>, aby se l\u00e9pe zachovala detailnost obr\u00e1zku.<\/p>\n<p><\/noindex><\/p>\n<p>Hlavn\u00ed zm\u011bnou verze 2.5.0 je v\u00fdrazn\u00e1 optimalizace v\u00fdkonu a sn\u00ed\u017een\u00ed spot\u0159eby pam\u011bti na <strong>Intel GPU s podporou XMX<\/strong> a na procesorech s <strong>AMX-FP16<\/strong>. V\u00fdvoj\u00e1\u0159i nezve\u0159ejnili konkr\u00e9tn\u00ed \u010d\u00edsla zrychlen\u00ed, ale tuto zm\u011bnu zd\u016fraznili jako prvn\u00ed v seznamu zm\u011bn.<\/p>\n<h4>Hlavn\u00ed zm\u011bny Open Image Denoise 2.5.0<\/h4>\n<ul>\n<li>\n<p><strong>Zrychlen\u00ed na Intel GPU s XMX.<\/strong><br \/>\nKnihovna se stala rychlej\u0161\u00ed a \u00fasporn\u011bj\u0161\u00ed na pam\u011bti na grafick\u00fdch procesorech Intel, kde jsou k dispozici maticov\u00e9 roz\u0161\u00ed\u0159en\u00ed XMX. To je d\u016fle\u017eit\u00e9 pro interaktivn\u00ed n\u00e1hled a kone\u010dn\u00e9 renderov\u00e1n\u00ed, kde m\u016f\u017ee doch\u00e1zet k opakovan\u00e9mu odstra\u0148ov\u00e1n\u00ed \u0161umu b\u011bhem akumulace vzork\u016f.<\/p>\n<\/li>\n<li>\n<p><strong>Optimalizace pro CPU s AMX-FP16.<\/strong><br \/>\nZlep\u0161ena pr\u00e1ce na procesorech Intel s podporou AMX-FP16. Tyto instrukce se pou\u017e\u00edvaj\u00ed k urychlen\u00ed maticov\u00fdch operac\u00ed, co\u017e je vhodn\u00e9 pro neuronov\u00e9 filtry odstra\u0148ov\u00e1n\u00ed \u0161umu.<\/p>\n<\/li>\n<li>\n<p><strong>API pro import extern\u00edch semafor\u016f z grafick\u00fdch API.<\/strong><br \/>\nP\u0159id\u00e1no rozhran\u00ed pro import extern\u00edch semafor\u016f z Vulkan, Direct3D 12 a dal\u0161\u00edch grafick\u00fdch API. V sou\u010dasnosti je to podporov\u00e1no pro CUDA za\u0159\u00edzen\u00ed v syst\u00e9mech Windows a Linux, a tak\u00e9 pro HIP za\u0159\u00edzen\u00ed v syst\u00e9mu Windows; podpora SYCL za\u0159\u00edzen\u00ed je sl\u00edben\u00e1 v jedn\u00e9 z budouc\u00edch verz\u00ed.<\/p>\n<\/li>\n<li>\n<p><strong>Flag pro extern\u00ed pam\u011b\u0165 s dedikovanou alokac\u00ed.<\/strong><br \/>\nP\u0159id\u00e1n OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. Tento flag je t\u0159eba kombinovat s flagem typu popisova\u010de p\u0159i importu extern\u00ed pam\u011bti, kter\u00e1 byla alokov\u00e1na jako dedikovan\u00e1 alokace. Tato zm\u011bna je d\u016fle\u017eit\u00e1 pro n\u00edzko\u00farov\u0148ovou integraci OIDN s enginy a grafick\u00fdmi API.<\/p>\n<\/li>\n<li>\n<p><strong>Oprava po\u0161kozen\u00e9ho v\u00fdstupu na Apple M5 Pro\/Max.<\/strong><br \/>\nV Metal backendu byla opravena chyba, kv\u016fli kter\u00e9 na GPU Apple M5 Pro a M5 Max mohl b\u00fdt generov\u00e1n po\u0161kozen\u00fd v\u00fdstup.<\/p>\n<\/li>\n<li>\n<p><strong>Oprava p\u00e1d\u016f v Metal.<\/strong><br \/>\nByl odstran\u011bn probl\u00e9m spojen\u00fd s nadm\u011brn\u00fdm uvoln\u011bn\u00edm MTLDevice. Chyba se mohla projevit po opakovan\u00e9m vytv\u00e1\u0159en\u00ed a ni\u010den\u00ed za\u0159\u00edzen\u00ed.<\/p>\n<\/li>\n<li>\n<p><strong>Opravy detekce za\u0159\u00edzen\u00ed ve Windows.<\/strong><br \/>\nByla opravena chyba, kv\u016fli kter\u00e9 mohlo p\u0159i pou\u017eit\u00ed n\u011bkter\u00fdch star\u0161\u00edch ovlada\u010d\u016f integrovan\u00e9 grafiky Intel ve Windows doch\u00e1zet k chyb\u011b detekce za\u0159\u00edzen\u00ed nebo ke kolapsu. Pro tuto opravu je zapot\u0159eb\u00ed verze s <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Open Image Denoise podporuje 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 a Apple Silicon GPU od M1. Pro GPU backendy jsou po\u017eadov\u00e1ny aktu\u00e1ln\u00ed ovlada\u010de a pro Apple GPU je pot\u0159eba macOS Ventura nebo nov\u011bj\u0161\u00ed.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 nejedn\u00e1 se o funk\u010dn\u011b velk\u00e9 vyd\u00e1n\u00ed pro koncov\u00e9ho u\u017eivatele, ale sp\u00ed\u0161e o d\u016fle\u017eitou infrastrukturn\u00ed aktualizaci: rychlej\u0161\u00ed fungov\u00e1n\u00ed na nov\u00e9m hardwaru Intel, lep\u0161\u00ed integrace s grafick\u00fdmi API a opravy n\u011bkolika platformov\u00fdch probl\u00e9m\u016f v Metal a Windows.<\/p>\n<p>Zdroj: <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 5.0.3 - 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