Xayma pose nit
Xayma pose nit dafay xam fi tànki yaram yi nekk, lu ci melni concours, wóom, ak mbagg, ngir defar yaxu nit ci nataal wala wideo.
Résumé
It turns raw pixels into structured data about how people move.
Plongeur bu xóot
Xayma pose dafay wut ay poñ yu am solo ci yaram (dañuy gëna bari 17 ba 33 poñ) ba noppi boole leen ci benn yax. Amna ñaari pexe yu mag. Pexem top-down dafay njëkka gis nit ku nekk ak boîte de bounding, ba noppi xayma joints yi ci biir; Dañu jaar yoon waaye dañu yeex sudee nit ñu bari dañu fa nekk. Pexem bottom-up, lu melni OpenPose, dafay gis poñ yu am solo yépp ci nataal bi benn yoon ba noppi dajale leen ci benn-benn, loolu mooy gëna baax ci mbooloo. Modèle yi mën nañu génne coordonnées 2D wala ñu yéegal leen ñu nekk 3D. Jumtukaay yiñ gëna xam ñooy OpenPose, MoveNet ak MediaPipe yu Google, ak HRNet, mooy denc man-mani dayo bu kawe ngir mëna jëfandikoo barab bu leer. Xarala yi dañuy dundal aplikaasioŋu fitness yi, kapte yëngu yi ak jàngat yi ci wàllu tàggat yaram.
Gis-gis xarala
Duñu delloosi coordonnée joint yi ci saasi, model yi gëna dëggu dañuy wax luy waaja am heatmap ci joint bu nekk, kàrtu probabilite bu pixel bi gëna leer di màndargaal barabu joint bi. Sistem yiy joge ci suuf dañuy yokk Part Affinity Fields, kàrtu vecteur yuy kode yoon wi tànk yi di jaar, suko defee ñu mëna lëkkale poñ yiñ gis ci yax yu jaar yoon doonte nit ñi dañuy jaxasoo. Backbones yu am resolusioŋ bu kawe yu melni HRNet dañuy tëye ay detay yu baax ci biir reso bi, gëna yombal njubte gi ci joints yu ndaw wala yu jegewaale.
njeextalu pexe
Gaawaay ak yaatuwaay
Visual IA mën na otomatise saytu, gis ak etiketu liggéey ci eskaal.
Tabax tànneef
Ekipu kreatif yi mën nañu defar konsept yu gëna gaaw te duñu def lu bari ci loxo.
Ekip ak def liggéey
Liggéeyukaay yi mën nañu jëfandikoo siñaal nataal wala wideo yu jafewoon lool ci liggéey.
Ëlëgu xayma pose nit
Xayma pose mingi jubal ci 3D ci jamono dëgg ci aparey konsomatër yi, toppu nit ñu bari, ak xeetu yaram-plus-loxo-plus-kanam ngir gëna riis ci kapte expression. Kapte yëngu bu amul màrker mingi wecci yéere studio yu seer yi ci wàllu filmu ak biomekanik. Xaarandi fusion bu gëna dëgër ak xàmmee jëf ngir xam du posture rek waaye liggéey, jëfandikoo bu gëna bari ci wàllu faju ngir dox ak jàngat rehabilitation, ak xeetu aparey yiy aar privacy te duñu musa yónnee wideo ci niir yi.
Doxal ci àdduna dëgg
Aplikaasioŋu fitness ak yoga yiy saytu formu jëfandikukat bi ak lim baamtu yi ci kameraa telefon bi
Kapte yëngu bu amul màrker ngir animaasioŋ personage yi ci filmu yi ak jeu video
Jàngat ci wàllu tàggat yaram mooy natt angle yu atlet bi, tànk yi ak pexem
Terapi physique ak jàngat dox ngir topp wér gi malaad bi di wér ak ni muy yëngu
Risk yi ak balustrade yi
Yelleefi nataal ak nangu mën na nekk risku yoon sudee fi ñu bawoo leerul.
Performance model bi mën na wuute ci leeraay bi, demographie bi ak environmaa bi.
Njuumteg positive yi mën nañu dem te kenn duko seetlu fileek xool wuñu buntu wóolu sa bopp.
Roadmap ngir samp gi
Mandargal kritërium nangug njub, woowaat ak njëgu njuumte.
Saytu ak done yu méngoo ak anam yi ñuy liggéeyee dëgg.
Yokk jàngat nit ngir xam fu wóorul dara wala am njeexital yu rëy.
Toppal model drift bi nga baaxal ko ginaaw bi kamera bi wala done yi soppeekoo.
Weyal di banneexu
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Gis bi ci topp
Xayma xóotaayu monokulaar
Laaj yi ñuy faral di laaj
What is Human Pose Estimation?
Xayma pose nit dafay xam fi tànki yaram yi nekk, lu ci melni concours, wóom, ak mbagg, ngir defar yaxu nit ci nataal wala wideo. Dafay soppi pixel yu ñor yi def leen ay done yuñ jagleel ni nit ñi di toxalee.
Lan mooy njëkka gis estimaasioŋu pose nit?
Xayma pose dafay xool poñ yu am solo yi ci yaram wi lu ci melni concours, wóom ak mbagg, ba noppi boole leen ñu nekk benn yax.
naka la pexe xayma pose ci kaw wàcci di doxee?
Top-down methods yi dañuy njëkka gis nit ku nekk ak boîte bounding ba noppi ñu xayma joints yi ci biir, loolu mooy gëna jub waaye dafay yeexal nit ñu bari.
Lan mooy xeetu pose yi gëna dëggu di wax luy waaja am ci joint bu nekk ci barabu coordonnées yu ñor yi?
Modèle yi dañuy faral di génne heatmap bu nekk ci joint yi, pixel bi gëna leer di wane barab bi joint bi gëna mëna nekk, te loolu dafay gëna dëgër di tàggat regression direct.
Lan la OpenPose di jëfandikoo ci barabi affinite?
Wàll Affinity Fields encode limb direction ni kàrtu vecteur, may pexe yu wàcci-kaw ñu boole points clé yi ci anam wu jaar yoon doonte nit ñi dañuy jaxasoo.
Lan moo waral pexe yu joge ci suuf yéeg ci kaw yu melni OpenPose di gëna am njariñ ci seen yu fees?
Bottom-up pexe gis bépp keypoint ci nataal bi ci benn pass ba noppi ñu boole leen, suko defee njëg bi du màgg ak nit ku nekk.