{"id":52524,"date":"2019-11-10T00:00:00","date_gmt":"2019-11-09T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud"},"modified":"2020-02-18T14:00:16","modified_gmt":"2020-02-18T11:00:16","slug":"ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/administrirovanie\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud","title":{"rendered":"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/f4f61b327ab9f1bcb3dcf3bbaad02de6.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nA k\u00f6zelm\u00faltig az IBM Watson Visual Recognition f\u0151k\u00e9nt k\u00e9pfelismer\u00e9sre szolg\u00e1lt, mint egy egys\u00e9ges egys\u00e9g. Azonban a k\u00e9pek egys\u00e9ges eg\u00e9szk\u00e9nt val\u00f3 kezel\u00e9se nem a legjobb megk\u00f6zel\u00edt\u00e9s. Most, az \u00faj funkci\u00f3 r\u00e9v\u00e9n, <b>objektumok azonos\u00edt\u00e1sa<\/b>, az IBM Watson felhaszn\u00e1l\u00f3i lehet\u0151s\u00e9get kaptak arra, hogy modelleket k\u00e9peken, c\u00edmk\u00e9zett objektumokkal k\u00e9pezzenek, hogy azokat b\u00e1rmely k\u00e9pkock\u00e1n felismerhess\u00e9k. <\/p>\n<p>Megmutatjuk, hogyan lehet ezt most megtenni.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nHa kor\u00e1bban az IBM Watsonnal meg tudtad k\u00fcl\u00f6nb\u00f6ztetni a s\u00e9r\u00fclt aut\u00f3t a s\u00e9rtetlent\u0151l, most m\u00e1r nemcsak a s\u00e9r\u00fcl\u00e9s jelenl\u00e9t\u00e9t ismerheted fel, hanem annak hely\u00e9t \u00e9s m\u00e9ret\u00e9t is fel tudod m\u00e9rni. Ez a megk\u00f6zel\u00edt\u00e9s sokkal informat\u00edvabb, lehet\u0151v\u00e9 t\u00e9ve a sz\u00fcks\u00e9ges jav\u00edt\u00e1s k\u00f6lts\u00e9g\u00e9nek el\u0151rejelz\u00e9s\u00e9t.<br \/>\nTerm\u00e9szetesen a funkci\u00f3 alkalmaz\u00e1si lehet\u0151s\u00e9geinek list\u00e1ja sokkal sz\u00e9lesebb, mint a j\u00e1rm\u0171vek integrit\u00e1s\u00e1nak egyszer\u0171 ellen\u0151rz\u00e9se. Mostant\u00f3l a Watson Visual Recognitiont haszn\u00e1lhatod:<\/p>\n<ul>\n<li>Az emberek sorban \u00e1ll\u00e1s\u00e1nak vagy aut\u00f3knak a forgalomban val\u00f3 megsz\u00e1ml\u00e1l\u00e1s\u00e1ra<\/li>\n<li>Term\u00e9kek azonos\u00edt\u00e1s\u00e1ra a bolt polcain<\/li>\n<li>Log\u00f3k felismer\u00e9s\u00e9re f\u00e9nyk\u00e9peken<\/li>\n<li>CT \u00e9s MRI felv\u00e9telek elemz\u00e9s\u00e9re elt\u00e9r\u00e9sekre<\/li>\n<li>Egy\u00e9b feladatokhoz, amelyek a k\u00e9peken konkr\u00e9t objektumokkal kapcsolatosak<\/li>\n<\/ul>\n<p>\nNem kell h\u00f3napokat t\u00f6ltened az adatok kiv\u00e1laszt\u00e1s\u00e1val \u00e9s c\u00edmk\u00e9z\u00e9s\u00e9vel \u2013 a modelled m\u00e1r t\u00f6bb milli\u00f3 mint\u00e1n van betan\u00edtva, \u00e9s biztos\u00edtja a megfelel\u0151en magas el\u0151rejelz\u00e9si min\u0151s\u00e9get b\u00e1rmilyen m\u00f3dos\u00edt\u00e1s n\u00e9lk\u00fcl. Sz\u00fcks\u00e9g eset\u00e9n mindig tov\u00e1bb k\u00e9pezheted, hogy a neur\u00e1lis h\u00e1l\u00f3 megfeleljen a te szakter\u00fcleteddel kapcsolatos specifikus ig\u00e9nyeknek.<\/p>\n<h3>K\u00e9peket c\u00edmk\u00e9zhetsz, \u00e9s gyorsan k\u00e9pezheted a modellt a saj\u00e1t adataidon a Watson Studio seg\u00edts\u00e9g\u00e9vel<\/h3>\n<p>\n\u00c1ltal\u00e1ban a saj\u00e1t modelled pontos objektumfelismer\u00e9s\u00e9nek megtan\u00edt\u00e1sa \u2013 a sz\u00e1m\u00edt\u00f3g\u00e9pes l\u00e1t\u00e1s rendszer\u00e9nek l\u00e9trehoz\u00e1sakor \u2013 a legnehezebb feladat. A Watson Studio felgyors\u00edtja ezt a folyamatot, \u00e9s seg\u00edt cs\u00f6kkenteni az id\u0151t nagy adatmennyis\u00e9gek feldolgoz\u00e1sakor. A <b>Auto Label<\/b> kieg\u00e9sz\u00edt\u00e9ssel gyorsan c\u00edmk\u00e9zheted az \u00f6sszes, a datasetben tal\u00e1lhat\u00f3 k\u00e9pet.<\/p>\n<h3>Munka kezdetek<\/h3>\n<p>\nA Visual Recognition alkalmaz\u00e1s aktiv\u00e1l\u00e1sa \u00e9s l\u00e9trehoz\u00e1sa ut\u00e1n a felh\u0151ben csatlakoztasd a Watson Studiohoz, \u00e9s a Custom Models r\u00e9szben hozd l\u00e9tre a modellt a Detect Objects ablakban.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/d70042962a7b918d154c1dcb9ef47d80.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nT\u00f6ltse fel a megjegyz\u00e9s n\u00e9lk\u00fcli adatait a Watson Studio-ba (JPEG, PNG vagy ZIP form\u00e1tumban, mely tartalmazza ezeket a k\u00e9peket).<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/806890a6b5a77ddc32a1bb59674554d0.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nV\u00e1lassza ki a k\u00e9pet, jel\u00f6lje ki a t\u00e1rgyat, amelyet azonos\u00edtani szeretne, adjon neki nevet, \u00e9s mentse el. Ism\u00e9telje meg, am\u00edg meg nem jel\u00f6l minden sz\u00fcks\u00e9ges t\u00e1rgyat az adott k\u00e9pen.<br \/>\n<img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/9b2a798b0913e5e4708e7ae00fe30c46.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nMiut\u00e1n n\u00e9h\u00e1ny k\u00e9pet megjel\u00f6lt, betan\u00edthatja \u00e9s tesztelheti a modellj\u00e9t.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/f4aba28c11d0fefd187afdff96faea14.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nTov\u00e1bbi k\u00e9peket is hozz\u00e1adhat a modell min\u0151s\u00e9g\u00e9nek jav\u00edt\u00e1sa \u00e9rdek\u00e9ben az Auto Label funkci\u00f3 haszn\u00e1lat\u00e1val, amely seg\u00edt \u00d6nnek megjel\u00f6lni az \u00f6sszes adat\u00e1t. A funkci\u00f3 alkalmaz\u00e1s\u00e1hoz v\u00e1lassza ki az \u00f6sszes sz\u00fcks\u00e9ges k\u00e9pet \u00e9s kattintson az 'Auto Label' gombra, hogy a Watson automatikusan megjel\u00f6lje az adatokat a megadott oszt\u00e1lyoknak megfelel\u0151en.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/103cf33f9deb75bff5b6dbb6bf5cf54f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nA modell pontoss\u00e1g\u00e1nak ellen\u0151rz\u00e9se ut\u00e1n integr\u00e1lhatja a k\u00e9sz megold\u00e1st a term\u00e9k\u00e9be.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: az objektumok felismer\u00e9s\u00e9nek funkci\u00f3ja mostant\u00f3l el\u00e9rhet\u0151 az IBM Cloudban.\" src=\"\/wp-content\/uploads\/2019\/11\/b36d2354e3e9b32fa3baa6970d977550.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\n<b><noindex><a rel=\"nofollow\" href=\"https:\/\/ibm.biz\/rucloud\">Pr\u00f3b\u00e1lja ki<\/a><\/noindex><\/b> az IBM Watson Visual Recognition objektumazonos\u00edt\u00e1st ingyenesen m\u00e9g ma!<\/p>\n<p>Ezen k\u00edv\u00fcl szeretettel megh\u00edvjuk \u00d6nt ingyenes oktat\u00f3 szemin\u00e1riumainkra <noindex><a rel=\"nofollow\" href=\"https:\/\/ibmdbg.timepad.ru\/event\/1104167\/\">IBM Watson Studio<\/a><\/noindex> \u00e9s <noindex><a rel=\"nofollow\" href=\"https:\/\/ibmdbg.timepad.ru\/event\/1104177\/\">IBM felh\u0151beli Visual Recognition<\/a><\/noindex>, amelyeket novemberben rendez\u00fcnk a moszkvai irod\u00e1nk \u00fcgyf\u00e9lszolg\u00e1lati k\u00f6zpontj\u00e1ban.<\/p>\n<h4>Tov\u00e1bbi anyagok:<\/h4>\n<p><\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/youtu.be\/3gxMBtvsRFo\">Vide\u00f3-\u00fatmutat\u00f3<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/ibm.ent.box.com\/v\/WatsonCookieData\">Adathalmaz<\/a><\/noindex> a gyakorl\u00e1shoz k\u00e9sz\u00fclt s\u00fctikkel <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.ibm.com\/docs\/services\/visual-recognition?topic=visual-recognition-object-detection-overview\">k\u00f3dk\u00f6nyvt\u00e1rra l\u00e9p\u00e9s\u00e9vel \u00e9rheti el. <\/a><\/noindex><\/li>\n<\/ul>\n<p>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/ibm\/blog\/474978\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e \u043d\u0435\u0434\u0430\u0432\u043d\u0438\u0445 \u043f\u043e\u0440 IBM Watson Visual Recognition \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0441\u044f \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f, \u043a\u0430\u043a \u0435\u0434\u0438\u043d\u043e\u0433\u043e \u0446\u0435\u043b\u043e\u0433\u043e. \u041e\u0434\u043d\u0430\u043a\u043e \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u043e\u0439, \u043a\u0430\u043a \u0441 \u0435\u0434\u0438\u043d\u044b\u043c \u0446\u0435\u043b\u044b\u043c \u2014 \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u0441\u0430\u043c\u044b\u0439 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434. \u0422\u0435\u043f\u0435\u0440\u044c, \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u044f \u043d\u043e\u0432\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432, \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438 IBM Watson \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043e\u0431\u0443\u0447\u0430\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445 \u0441 \u0440\u0430\u0437\u043c\u0435\u0447\u0435\u043d\u043d\u044b\u043c\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438, \u0434\u043b\u044f \u0438\u0445 \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043d\u0430 \u043b\u044e\u0431\u044b\u0445 \u043a\u0430\u0434\u0440\u0430\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":[688],"tags":[],"class_list":["post-52524","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\".\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/hu\/blog\/administrirovanie\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" \/>\n\t\t<meta property=\"og:locale\" content=\"hu_HU\" \/>\n\t\t<meta property=\"og:site_name\" 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