{"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\/ro\/blog\/news\/ispolzovanie-mashinnogo-obucheniya-dlya-opredeleniya-emoczij-i-kontrolya-nad-svoej-mimikoj","title":{"rendered":"Utilizarea \u00eenv\u0103\u021b\u0103rii automate pentru a determina emo\u021biile \u0219i a controla expresiile faciale","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Andrei Savcenko de la filiala din Nizhni Novgorod a \u0218colii Superioare de Economie a publicat rezultatul cercet\u0103rilor sale \u00een domeniul \u00eenv\u0103\u021b\u0103rii automate, legate de recunoa\u0219terea emo\u021biilor pe fe\u021bele persoanelor prezente \u00een fotografii \u0219i videoclipuri. Codul este scris \u00een Python folosind PyTorch \u0219i este distribuit sub licen\u021ba Apache 2.0. Sunt disponibile mai multe modele gata f\u0103cute, inclusiv cele potrivite pentru utilizarea pe dispozitive mobile. <\/p>\n

Pe baza bibliotecii, un alt dezvoltator a creat programul sevimon, care permite monitorizarea modific\u0103rii emo\u021biilor folosind o camer\u0103 video \u0219i ajut\u0103 la controlul tensiunii muschilor faciali, de exemplu, pentru a elimina supra\u00eenc\u0103rcarea, influen\u021barea st\u0103rii de spirit \u0219i, \u00een cazul utiliz\u0103rii \u00eendelungate, prevenirea apari\u021biei ridurilor de expresie. Pentru a determina pozi\u021bia fe\u021bei \u00een videoclip, a fost utilizat\u0103 biblioteca CenterFace. Codul sevimon este scris \u00een Python \u0219i este distribuit sub licen\u021ba AGPLv3. La prima rulare, se \u00eencarc\u0103 modelele, dup\u0103 care programul nu necesit\u0103 conexiune la internet \u0219i func\u021bioneaz\u0103 complet autonom. Sunt preg\u0103tite instruc\u021biuni pentru rulare \u00een Linux\/UNIX \u0219i Windows, precum \u0219i o imagine Docker pentru Linux. <\/p>\n

Sevimon func\u021bioneaz\u0103 astfel: mai \u00eent\u00e2i, pe imaginea de la camer\u0103 este identificat\u0103 fa\u021ba, apoi fa\u021ba este comparat\u0103 cu fiecare din cele opt emo\u021bii (furie, dispre\u021b, repulsie, fric\u0103, bucurie, absen\u021b\u0103 de emo\u021bii, triste\u021be, surprindere), dup\u0103 care pentru fiecare emo\u021bie se d\u0103 o evaluare a similarit\u0103\u021bii. Valorile ob\u021binute sunt salvate \u00eentr-un jurnal \u00een format text pentru o analiz\u0103 ulterioar\u0103 de c\u0103tre programul sevistat. Pentru fiecare emo\u021bie, \u00een fi\u0219ierul de configurare pot fi stabilite limite superioare \u0219i inferioare ale valorilor, iar c\u00e2nd aceste valori sunt dep\u0103\u0219ite, se emite imediat o notificare.
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Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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