{"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\/hu\/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>Megjelent a kiad\u00e1s <strong>Open Image Denoise 2.5.0<\/strong> \u2014 szabad Intel k\u00f6nyvt\u00e1r a ray tracing m\u00f3dszerrel k\u00e9sz\u00fclt k\u00e9peken megjelen\u0151 zaj cs\u00f6kkent\u00e9s\u00e9re. A projekt licenc alatt terjesztend\u0151 <strong>Apache 2.0<\/strong> \u00e9s r\u00e9sze az Intel Rendering Toolkit-nek. A v2.5.0 kiad\u00e1s megjelent a GitHub-on <strong>2026. j\u00fanius 2-\u00e1n<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> a Monte Carlo zaj elt\u00e1vol\u00edt\u00e1s\u00e1ra k\u00e9sz\u00fclt, amely a sztochasztikus renderel\u00e9si m\u00f3dszerek, p\u00e9ld\u00e1ul a path tracing jellemz\u0151je. A k\u00f6nyvt\u00e1r C\/C++ API-t \u00e9s egy sor neur\u00e1lis h\u00e1l\u00f3zati sz\u0171r\u0151t biztos\u00edt, amelyeket a sz\u00ednbufferrel \u00e9s az olyan kieg\u00e9sz\u00edt\u0151 bufferekkel is lehet haszn\u00e1lni, mint a <strong>albedo<\/strong> \u00e9s <strong>norm\u00e1l<\/strong>, hogy jobban megmaradjanak a r\u00e9szletek az image-ben.<\/p>\n<p><\/noindex><\/p>\n<p>A 2.5.0 verzi\u00f3 f\u0151 v\u00e1ltoz\u00e1sa a teljes\u00edtm\u00e9ny jelent\u0151s optimaliz\u00e1l\u00e1sa \u00e9s a mem\u00f3riafogyaszt\u00e1s cs\u00f6kkent\u00e9se <strong>Intel GPU-n XMX t\u00e1mogat\u00e1ssal<\/strong> \u00e9s AMX-FP16 <strong>architekt\u00far\u00e1j\u00fa processzorokon. A fejleszt\u0151k nem k\u00f6z\u00f6ltek konkr\u00e9t sebess\u00e9gn\u00f6veked\u00e9si sz\u00e1mokat, de els\u0151dleges v\u00e1ltoz\u00e1sk\u00e9nt emelt\u00e9k ki ezt a kiad\u00e1si jegyz\u00e9kben.<\/strong>A Open Image Denoise 2.5.0 f\u0151bb v\u00e1ltoz\u00e1sai<\/p>\n<h4>Gyorsul\u00e1s Intel GPU-n XMX-sel.<\/h4>\n<ul>\n<li>\n<p><strong>A k\u00f6nyvt\u00e1r gyorsabb \u00e9s energiatakar\u00e9kosabb lett az Intel grafikus processzorain, ahol el\u00e9rhet\u0151k a m\u00e1trix kiterjeszt\u00e9sek XMX. Ez fontos az interakt\u00edv el\u0151n\u00e9zet \u00e9s a v\u00e9gs\u0151 renderel\u00e9s szempontj\u00e1b\u00f3l, ahol a zajcs\u00f6kkent\u00e9st t\u00f6bbsz\u00f6r v\u00e9grehajtj\u00e1k a mint\u00e1k felhalmoz\u00e1sa sor\u00e1n.<\/strong><br \/>\nOptimaliz\u00e1l\u00e1s CPU-n AMX-FP16 t\u00e1mogat\u00e1ssal.<\/p>\n<\/li>\n<li>\n<p><strong>Jav\u00edtott teljes\u00edtm\u00e9ny az Intel processzorokon, amelyek t\u00e1mogatj\u00e1k az AMX-FP16-ot. Ezek az utas\u00edt\u00e1sok a m\u00e1trixm\u0171veletek gyors\u00edt\u00e1s\u00e1ra haszn\u00e1lhat\u00f3k, amely j\u00f3l alkalmazhat\u00f3 a zajcs\u00f6kkent\u0151 neur\u00e1lis sz\u0171r\u0151k eset\u00e9ben.<\/strong><br \/>\nAPI a k\u00fcls\u0151 szemaforok import\u00e1l\u00e1s\u00e1hoz a grafikus API-b\u00f3l.<\/p>\n<\/li>\n<li>\n<p><strong>\u00daj interf\u00e9sz ker\u00fclt bevezet\u00e9sre a k\u00fcls\u0151 szemaforok import\u00e1l\u00e1s\u00e1ra a Vulkan, Direct3D 12 \u00e9s m\u00e1s grafikus API-kb\u00f3l. Jelenleg ez a CUDA-eszk\u00f6z\u00f6k t\u00e1mogat\u00e1s\u00e1ra vonatkozik Windows \u00e9s Linux rendszereken, valamint HIP-eszk\u00f6z\u00f6k eset\u00e9ben Windows alatt; a SYCL-eszk\u00f6z\u00f6k t\u00e1mogat\u00e1sa egy j\u00f6v\u0151beli friss\u00edt\u00e9sben \u00edg\u00e9rve van.<\/strong><br \/>\nK\u00fcls\u0151 mem\u00f3ria z\u00e1szl\u00f3 dedik\u00e1lt elhelyez\u00e9ssel.<\/p>\n<\/li>\n<li>\n<p><strong>Hozz\u00e1adva az OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. Ezt a z\u00e1szl\u00f3t a k\u00fcls\u0151 mem\u00f3ria import\u00e1l\u00e1sakor kell kombin\u00e1lni a deskript\u00edv z\u00e1szl\u00f3val, amelyet dedik\u00e1lt allok\u00e1ci\u00f3val jel\u00f6ltek. Ez a v\u00e1ltoz\u00e1s fontos az OIDN alacsony szint\u0171 integr\u00e1ci\u00f3j\u00e1hoz a j\u00e1t\u00e9kmotorokkal \u00e9s grafikus API-kkal.<\/strong><br \/>\nHibajav\u00edt\u00e1s az Apple M5 Pro\/Max kimenet\u00e9n.<\/p>\n<\/li>\n<li>\n<p><strong>A Metal backendben kijav\u00edtott\u00e1k azt a probl\u00e9m\u00e1t, amely miatt a GPU-n Apple M5 Pro \u00e9s M5 Max s\u00e9r\u00fclt eredm\u00e9ny keletkezhetett.<\/strong><br \/>\nHibajav\u00edt\u00e1s Metal alatt.<\/p>\n<\/li>\n<li>\n<p><strong>Hibajav\u00edt\u00e1s a Metal programban.<\/strong><br \/>\nMegoldott\u00e1k a MTLDevice t\u00falzott felszabad\u00edt\u00e1s\u00e1val kapcsolatos hib\u00e1t. A hiba t\u00f6bb alkalommal t\u00f6rt\u00e9n\u0151 eszk\u00f6z\u00f6k l\u00e9trehoz\u00e1sa \u00e9s megsemmis\u00edt\u00e9se ut\u00e1n l\u00e9phetett fel.<\/p>\n<\/li>\n<li>\n<p><strong>Hibajav\u00edt\u00e1sok a Windows eszk\u00f6zfelismer\u00e9shez.<\/strong><br \/>\nJav\u00edtott\u00e1k azt a hib\u00e1t, amely miatt bizonyos r\u00e9gi Intel integr\u00e1lt grafikus illeszt\u0151programok eset\u00e9n a Windows rendszeren a eszk\u00f6zfelismer\u00e9s megszakadhatott vagy \u00f6sszeomlott. Ehhez a jav\u00edt\u00e1shoz a k\u00f6vetkez\u0151 build sz\u00fcks\u00e9ges: <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Az Open Image Denoise t\u00e1mogatja az x86-64 CPU-t SSE4.1-el, ARM64-et, Intel Xe\/Xe2\/Xe3, NVIDIA Turing\/Ampere\/Ada\/Hopper\/Blackwell, AMD RDNA 2\/3\/3.5\/4 \u00e9s Apple Silicon GPU-t az M1-t\u0151l kezd\u0151d\u0151en. A GPU-h\u00e1tt\u00e9rhez aktu\u00e1lis illeszt\u0151programok sz\u00fcks\u00e9gesek, m\u00edg az Apple GPU-hoz macOS Ventura vagy \u00fajabb verzi\u00f3 sz\u00fcks\u00e9ges.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 nem funkcion\u00e1lisan nagyobb kiad\u00e1s a v\u00e9gfelhaszn\u00e1l\u00f3knak, hanem ink\u00e1bb egy fontos infrastrukt\u00fara friss\u00edt\u00e9s: gyorsabban m\u0171k\u00f6dik \u00faj Intel hardveren, jobban integr\u00e1l\u00f3dik a grafikus API-kkal, \u00e9s kijav\u00edt t\u00f6bb platform-specifikus probl\u00e9m\u00e1t a Metal \u00e9s Windows rendszeren.<\/p>\n<p>Forr\u00e1s: <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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