{"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\/et\/blog\/news\/google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral","title":{"rendered":"Google on v\u00e4lja andnud Mendel Linux 4.0 distributsiooni Coralile","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Google'i ettev\u00f5te <noindex><a rel=\"nofollow\" href=\"https:\/\/developers.googleblog.com\/2019\/11\/updates-from-coral-mendel-linux-4.html\">esitles<\/a><\/noindex> jaotuse uuendus <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/software\/#mendel-linux\">Mendel Linux<\/a><\/noindex>, mis on m\u00f5eldud kasutamiseks plaaditel <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/\">Coral<\/a><\/noindex>, nagu <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/products\/dev-board\/\">Arendusplaat<\/a><\/noindex> ja <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/products\/som\/\">SoM<\/a><\/noindex>. Arendusplaat on platvorm kiirete riistvara protot\u00fc\u00fcpide arendamiseks <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), mis kiirendab masin\u00f5ppe ja n\u00e4rviv\u00f5rkudega seotud operatsioone. SoM (System-on-Module) on \u00fcks valmis lahendustest masin\u00f5ppe rakenduste t\u00e4itmiseks.<\/p>\n<p>Mendel Linuxi distributsioon <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.googlesource.com\/docs\/+\/refs\/heads\/master\/ReadMe.md\">ettev\u00f5te Kinvolk 2018. aastal, p\u00e4rast Red Hati teateid CoreOS tehnoloogiate integreerimise kavatsusest oma toodetesse. Projekt loodi, et tagada CoreOS Container Linuxi j\u00e4tkuv eksistents, juhul kui tehakse kardinaalseid muudatusi v\u00f5i arenduse l\u00f5petamine.<\/a><\/noindex> p\u00f5hineb Debianil ja on t\u00e4ielikult \u00fchilduv selle projekti hoidlatega (kasutatakse muutumatuid binaarpakette ja uuendusi Debian peamistest hoidlatest). Muudatused piirduvad pildifaili koostamisega, mille saab laadida eMMC kaartidelt, ja komponente, mis toetavad Coral platvormi riistvarakomponente. Coralile spetsiifilised komponendid <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.googlesource.com\/\">levitatakse<\/a><\/noindex> lisensiga 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\">sai<\/a><\/noindex> esimese v\u00e4ljaande, uuendatud Debian 10 (\"buster\"). Kogumik on optimeeritud sisseehitatud s\u00fcsteemide jaoks ja ei sisalda liigset, sealhulgas Debian 10-ga seotud uuendusi, mis puudutavad SecureBooti ja AppArmori toetust. Uuendustest m\u00e4rgitakse OpenCV ja OpenCLi tugi, Device Tree'i overlay'de kasutamine, samuti GStreamer, Python 3.7, Linuxi tuuma 4.14 ja U-Boot bootloaderi 2017.03.3 uuendamine. <\/p>\n<p>Coralile paigaldatava GPU (Vivante GC7000) kasutamise v\u00f5imalust mainitakse spetsiifilisena, et kiirendada pikselandmete muundamist YUV v\u00e4rvimudelist RGB mudelisse, j\u00f5udlusega kuni 130 kaadrit sekundis 1080p resolutsiooniga videotes, mis v\u00f5ib olla kasulik plaatide kasutamisel videote t\u00f6\u00f6tlemiseks kaameratest, mis genereerivad YUV formaadis vooge. Masin\u00f5ppe rakendamiseks voogude t\u00f6\u00f6tlemiseks ja heli t\u00f6\u00f6tlemiseks reaalajas on soovitatud kasutada avatud raamistiku <noindex><a rel=\"nofollow\" href=\"https:\/\/mediapipe.dev\/\">MediaPipe<\/a><\/noindex>. N\u00e4iteks selle alusel on v\u00f5imalik <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/mediapipe\/tree\/master\/mediapipe\/examples\/coral\">rakendada<\/a><\/noindex> oma objektide v\u00f5i n\u00e4gude tuvastamise ja j\u00e4lgimise s\u00fcsteem videotes, mida edastatakse valvekaamerast.<\/p>\n<p>Valmis ja juba treenitud masin\u00f5ppe mudeleid, mis on kompileeritud Coral plaatidel kasutatavate Edge TPU protsessorite jaoks, j\u00e4tkatakse pakkumist <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/models\/\">projekti lehelt<\/a><\/noindex>, kuid need kantakse j\u00e4rk-j\u00e4rgult \u00fcle ka \u00fcldiselt k\u00e4tte saadavate mudelite katalooge <noindex><a rel=\"nofollow\" href=\"https:\/\/tfhub.dev\/\">TensorFlow Hub<\/a><\/noindex>. Kliendi arenduste lihtsustamiseks Coral plaatide ja Mendel Linuxi alusel on ette valmistatud <noindex><a rel=\"nofollow\" href=\"https:\/\/coral.ai\/projects\/teachable-sorter\/\">juhend<\/a><\/noindex>, n\u00e4idates, kuidas isetehtud materjalide abil kokku panna nutikas sorteerija, mis jagab v\u00e4rvilised ja valged pallid erinevatesse korvidesse, kasutades Raspberry Pi ja Coral USB Acceleratorit.<\/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=\"M\u00e4ngi videot\" 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>Allikas: <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 5.0.1.1 - 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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