{"id":105450,"date":"2022-11-03T09:36:47","date_gmt":"2022-11-03T07:36:47","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/ispolzovanie-mashinnogo-obucheniya-dlya-opredeleniya-emoczij-i-kontrolya-nad-svoej-mimikoj"},"modified":"2022-11-03T09:36:47","modified_gmt":"2022-11-03T07:36:47","slug":"ispolzovanie-mashinnogo-obucheniya-dlya-opredeleniya-emoczij-i-kontrolya-nad-svoej-mimikoj","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/ispolzovanie-mashinnogo-obucheniya-dlya-opredeleniya-emoczij-i-kontrolya-nad-svoej-mimikoj","title":{"rendered":"Pou\u017eit\u00ed strojov\u00e9ho u\u010den\u00ed k rozpozn\u00e1v\u00e1n\u00ed emoc\u00ed a kontrole nad mimikou","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrej Sav\u010denkov z ni\u017en\u00edho novgorodsk\u00e9ho pobo\u010dky Vysok\u00e9 \u0161koly ekonomick\u00e9 zve\u0159ejnil v\u00fdsledky sv\u00fdch v\u00fdzkum\u016f v oblasti strojov\u00e9ho u\u010den\u00ed zam\u011b\u0159en\u00fdch na rozpozn\u00e1v\u00e1n\u00ed emoc\u00ed na tv\u00e1\u0159\u00edch lid\u00ed, kte\u0159\u00ed se objevuj\u00ed na fotografi\u00edch a vide\u00edch. K\u00f3d je naps\u00e1n v jazyce Python s pou\u017eit\u00edm PyTorch a je distribuov\u00e1n pod licenc\u00ed Apache 2.0. K dispozici je n\u011bkolik p\u0159ipraven\u00fdch model\u016f, kter\u00e9 jsou vhodn\u00e9 pro pou\u017eit\u00ed na mobiln\u00edch za\u0159\u00edzen\u00edch. <\/p>\n

Na z\u00e1klad\u011b knihovny byl dal\u0161\u00edm v\u00fdvoj\u00e1\u0159em vytvo\u0159en program sevimon, kter\u00fd umo\u017e\u0148uje sledovat zm\u011bny emoc\u00ed pomoc\u00ed videokamery a pom\u00e1h\u00e1 p\u0159i kontrole nap\u011bt\u00ed sval\u016f obli\u010deje, nap\u0159\u00edklad k odstran\u011bn\u00ed p\u0159et\u00ed\u017een\u00ed, nep\u0159\u00edm\u00e9mu ovlivn\u011bn\u00ed n\u00e1lady a p\u0159i dlouhodob\u00e9m pou\u017e\u00edv\u00e1n\u00ed prevenci vzniku mimick\u00fdch vr\u00e1sek. K ur\u010den\u00ed pozice obli\u010deje ve videu byla pou\u017eita knihovna CenterFace. K\u00f3d sevimonu je naps\u00e1n v Pythonu a je distribuov\u00e1n pod licenc\u00ed AGPLv3. P\u0159i prvn\u00edm spu\u0161t\u011bn\u00ed se na\u010d\u00edtaj\u00ed modely, pot\u00e9 program nevy\u017eaduje p\u0159ipojen\u00ed k internetu a funguje zcela autonomn\u011b. Jsou p\u0159ipraveny instrukce pro spu\u0161t\u011bn\u00ed v Linuxu\/UNIX a Windows, stejn\u011b jako docker image pro Linux. <\/p>\n

Sevimon funguje n\u00e1sledovn\u011b: nejprve se na obr\u00e1zku z kamery identifikuje obli\u010dej, pot\u00e9 se obli\u010dej porovn\u00e1 s ka\u017edou z osmi emoc\u00ed (hn\u011bv, pohrd\u00e1n\u00ed, odpor, strach, radost, absence emoc\u00ed, smutek, p\u0159ekvapen\u00ed), po \u010dem\u017e je ka\u017ed\u00e9 emoci p\u0159id\u011blena ur\u010dit\u00e1 hodnota podobnosti. Z\u00edskan\u00e9 hodnoty jsou ulo\u017eeny do den\u00edku v textov\u00e9m form\u00e1tu pro dal\u0161\u00ed anal\u00fdzu programem sevistat. Pro ka\u017edou emoci je v konfigura\u010dn\u00edm souboru mo\u017en\u00e9 nastavit horn\u00ed a doln\u00ed hranice hodnot, p\u0159i jejich\u017e p\u0159ekro\u010den\u00ed se okam\u017eit\u011b vyd\u00e1v\u00e1 upozorn\u011bn\u00ed.
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Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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