{"id":53128,"date":"2019-11-24T00:00:00","date_gmt":"2019-11-23T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral"},"modified":"2020-02-18T14:00:59","modified_gmt":"2020-02-18T11:00:59","slug":"google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral","title":{"rendered":"Google je izdal distribucijo Mendel Linux 4.0 za plo\u0161\u010de Coral","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Podjetje Google <noindex><a rel=\"nofollow\" href=\"https:\/\/developers.googleblog.com\/2019\/11\/updates-from-coral-mendel-linux-4.html\">je predstavilo<\/a><\/noindex> posodobitev distribucije <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/software\/#mendel-linux\">Mendel Linux<\/a><\/noindex>, namen za uporabo na plo\u0161\u010dah <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/\">Coral<\/a><\/noindex>, kot so <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/products\/dev-board\/\">Razvojna plo\u0161\u010da<\/a><\/noindex> in <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/products\/som\/\">SoM<\/a><\/noindex>. Razvojna plo\u0161\u010da je platforma za hitro razvoj prototipov strojnih sistemov, ki temeljijo na <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%A2%D0%B5%D0%BD%D0%B7%D0%BE%D1%80%D0%BD%D1%8B%D0%B9_%D0%BF%D1%80%D0%BE%D1%86%D0%B5%D1%81%D1%81%D0%BE%D1%80_Google\">Google Edge TPU<\/a><\/noindex> (Tensor Processing Unit) za pospe\u0161evanje operacij, povezanih z umetno inteligenco in nevronskimi mre\u017eami. SoM (System-on-Module) je ena izmed pripravljenih re\u0161itev za izvajanje aplikacij, povezanih z umetno inteligenco.<\/p>\n<p>Distribucija Mendel Linux <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.googlesource.com\/docs\/+\/refs\/heads\/master\/ReadMe.md\">osnovan<\/a><\/noindex> na osnovi paketa Debian in je popolnoma zdru\u017eljiva z repozitoriji tega projekta (uporabljajo se nespremenjeni binarni paketi in posodobitve iz osnovnih Debianovih repozitorijev). Spremembe so omejene na sestavljanje slike, nalo\u017eene iz eMMC kartic, ter vklju\u010ditev komponent za podporo strojnih delov platforme Coral. Specifi\u010dne komponente za Coral <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.googlesource.com\/\">se raz\u0161irjajo<\/a><\/noindex> pod licenco Apache 2.0. <\/p>\n<p>Mendel Linux 4.0 <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.googlesource.com\/docs\/+\/refs\/heads\/master\/Releases.md\">postal<\/a><\/noindex> prvim izdanjem, a\u017euriranim na Debian 10 (\"buster\"). Izgradnja je optimizirana za ugra\u0111ene sustave i ne sadr\u017ei suvi\u0161no, uklju\u010duju\u0107i inovacije Debian 10 vezane uz podr\u0161ku SecureBoot i AppArmor. Me\u0111u novinama isti\u010de se podr\u0161ka za OpenCV i OpenCL, kori\u0161tenje overlaya Device Tree, kao i a\u017euriranje GStreamer-a, Python 3.7, jezgre Linux 4.14 i bootloader-a U-Boot 2017.03.3. <\/p>\n<p>Med specifi\u010dnimi novostmi je prilo\u017enost izkori\u0161\u010denja GPU (Vivante GC7000), name\u0161\u010denega na plo\u0161\u010dah Coral, za pospe\u0161evanje pretvorbe slikovnih podatkov iz barvne sheme YUV v RGB do 130 sli\u010dic na sekundo za videoposnetke z lo\u010dljivostjo 1080p, kar je lahko koristno pri uporabi plo\u0161\u010d za obdelavo videa iz kamer, ki generirajo tok v formatu YUV. Za uporabo umetne inteligence pri obdelavi video in avdio tokov v realnem \u010dasu predlagamo uporabo odprtega okvira <noindex><a rel=\"nofollow\" href=\"https:\/\/mediapipe.dev\/\">MediaPipe<\/a><\/noindex>. Na njegovi osnovi je mogo\u010de <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/tree\/master\/mediapipe\/examples\/coral\">implementaciju<\/a><\/noindex> ustvariti sistem za prepoznavanje in sledenje objektom ali obrazom v videu, ki ga prena\u0161a nadzorna kamera.<\/p>\n<p>Pripravljene in \u017ee usposobljene tipi\u010dne modele umetne inteligence, skompilirane za procesorje Edge TPU, uporabljene na plo\u0161\u010dah Coral, \u0161e naprej dostavljamo <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/models\/\">na spletni strani projekta<\/a><\/noindex>, vendar jih postopoma prena\u0161amo tudi v skupni katalog javno dostopnih modelov <noindex><a rel=\"nofollow\" href=\"https:\/\/tfhub.dev\/\">TensorFlow Hub<\/a><\/noindex>. Za poenostavitev razvoja lastnih re\u0161itev na osnovi plo\u0161\u010d Coral in Mendel Linux je pripravljen <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/projects\/teachable-sorter\/\">vodnik<\/a><\/noindex>, ki prikazuje, kako iz materialov, ki so na voljo, sestaviti pametno sortirno napravo, ki razporeja barvne in bele \u017eoge v razli\u010dne ko\u0161are, z uporabo Raspberry Pi in Coral USB Accelerator.<\/p>\n<p><center><div class=\"youtube-placeholder\" data-id=\"ydzJPeeMiMI\" onclick=\"loadVideo(this)\">\r\n        <img decoding=\"async\" src=\"https:\/\/img.youtube.com\/vi\/ydzJPeeMiMI\/hqdefault.jpg\" alt=\"Predvajaj video\" 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>Izvor: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51924\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u0430 Mendel Linux, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043d\u0430 \u043f\u043b\u0430\u0442\u0430\u0445 Coral, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a Dev Board \u0438 SoM. \u041f\u043b\u0430\u0442\u0430 Dev Board \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0443 \u0434\u043b\u044f \u0431\u044b\u0441\u0442\u0440\u043e\u0439 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u043e\u0432 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043d\u0430 \u0431\u0430\u0437\u0435 Google Edge TPU (Tensor Processing Unit) \u0434\u043b\u044f \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u0438\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441 \u043c\u0430\u0448\u0438\u043d\u043d\u044b\u043c \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435\u043c \u0438 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u043c\u0438 \u0441\u0435\u0442\u044f\u043c\u0438. SoM (System-on-Module) \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0434\u043d\u0438\u043c \u0438\u0437 \u0433\u043e\u0442\u043e\u0432\u044b\u0445 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-53128","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u0430\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta 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