Ukulinganisa Ukuma Komuntu
Ukulinganisa ukuma komuntu kuthola ukuma kwamalunga omzimba, njengezindololwane, amadolo, namahlombe, ukuze kwakhiwe uhlaka lwamathambo edijithali lomuntu ezithombeni noma kuvidiyo.
Uhlolojikelele
It turns raw pixels into structured data about how people move.
I-Deep Dive
Ukulinganisa kokuma kuthola isethi yamaphoyinti angukhiye omzimba (ngokuvamile amalunga angu-17 kuya kwangu-33) futhi kuwaxhuma kuhlaka lwamathambo. Amasu amabili amakhulu akhona. Izindlela eziya phansi kuqala zithole umuntu ngamunye onebhokisi elibophayo, bese zilinganisa amalunga angaphakathi kulo; zinembile kodwa zihamba kancane lapho abantu abaningi bekhona. Izindlela eziya phansi phezulu, njenge-OpenPose, zitholela wonke amaphuzu angukhiye esithombeni ngesikhathi esisodwa bese uwahlanganisa abe ngabantu ngabanye, okukala kangcono ezixukwini. Amamodeli angakhipha izixhumanisi ze-2D noma aziphakamise abe yi-3D. Amathuluzi adumile ahlanganisa i-OpenPose, Google's MoveNet kanye ne-MediaPipe, kanye ne-HRNet, egcina izici ezinokulungiswa okuphezulu ukuze kwenziwe kwasendaweni ngokuhlanganyela okunembile. Ubuchwepheshe bunika amandla izinhlelo zokusebenza zokufaneleka, ukuthwebula ukunyakaza, nokuhlaziya kwezemidlalo.
I-Technical Insight
Kunokuba kuhlehlisele phansi izixhumanisi ezihlanganyelwe ngokuqondile, amamodeli anembe kakhulu abikezela imephu yokushisa ngokuhlanganyela, imephu okungenzeka ukuthi iphikseli yayo ekhanya kakhulu imaka indawo okungenzeka ukuthi ihlangene. Amasistimu aphansi phezulu engeza I-Part Affinity Fields, amamephu e-vector afaka ikhodi indawo yezitho, ukuze amaphuzu angukhiye atholiwe axhunywe kumathambo alungile ngisho nakubantu abagqagqene. I-backbones enokulungiswa okuphezulu njenge-HRNet igcina imininingwane emihle yendawo kuyo yonke inethiwekhi, ithuthukisa ukunemba kwamalunga amancane noma asondelene kakhulu.
I-Strategic Impact
Isivinini nesikali
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.
Yakha ukukhetha
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.
Ithimba kanye nokusebenza komsebenzi
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.
Ikusasa Lokulinganiswa Kwesimo Somuntu
Ukulinganisela kokuma kuya ku-3D yesikhathi sangempela kumadivayisi omthengi, ukulandelela okuqinile kwabantu abaningi, namamodeli agcwele womzimba-kanye nesandla-nobuso ukuze uthwebule isisho esicebile. Ukuthwebula okunyakazayo okungenamaki kungena esikhundleni samasudi estudio abizayo kufilimu kanye ne-biomechanics. Lindela ukuhlangana okuqinile nokuqashelwa kwesenzo ukuze uqonde hhayi nje ukuma kodwa umsebenzi, ukusetshenziswa okukhulayo ekunakekelweni kwezempilo ukuze kuhlaziywe ukuhambahamba nokuvuselelwa, namamodeli akudivayisi avikela ubumfihlo ngokungathumeli ividiyo emafini.
Ukuqaliswa Komhlaba Wangempela
Izinhlelo zokusebenza zokufaneleka ne-yoga ezihlola ifomu lomsebenzisi futhi zibale izimpinda kusuka kukhamera yefoni
Ukuthwebula ukunyakaza okungamaki kwabalingiswa abagqwayizayo kumafilimu nemidlalo yevidiyo
Izibalo zezemidlalo ezikala ama-engeli ahlangene omsubathi, igxathu, nendlela
Ukwelashwa ngokomzimba nokuhlaziywa kwe-gait ukulandelela ukululama kwesiguli kanye nekhwalithi yokunyakaza
Izingozi & Guardrails
Amalungelo ezithombe kanye nemvume kungaba ubungozi bezomthetho uma ukuvela kungacacile.
Ukusebenza kwemodeli kungahluka kukho konke ukukhanya, izibalo zabantu, kanye nezindawo.
Okuhle okungelona iqiniso kungase kungabonakali ngaphandle uma izinga lokuzethemba liqashelwa.
Ukuqalisa Umhlahlandlela
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha.
Hlola ngedatha efana nezimo zangempela zokukhiqiza.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Ukulinganisa Ukujula Kwe-Monocular
Imibuzo evame ukubuzwa
What is Human Pose Estimation?
Ukulinganisa ukuma komuntu kuthola ukuma kwamalunga omzimba, njengezindololwane, amadolo, namahlombe, ukuze kwakhiwe uhlaka lwamathambo edijithali lomuntu ezithombeni noma kuvidiyo. Ishintsha amaphikseli angahluziwe abe yidatha ehlelekile mayelana nokuthi abantu banyakaza kanjani.
Yini etholwa ngokuyinhloko ukulinganisa kokuma komuntu?
Ukulinganisa kokuma kuthola amaphuzu okhiye omzimba njengezindololwane, amadolo, namahlombe, bese kuwaxhuma kuhlaka lwamathambo.
Zisebenza kanjani izindlela zokulinganisa ukuma okuya phezulu?
Izindlela eziya phezulu ziqale zithole umuntu ngamunye onebhokisi elibophayo bese zilinganisa amalunga angaphakathi kulo, anembile kodwa anciphisa ijubane nabantu abaningi.
Yini amamodeli wokuma anembe kakhulu abikezela ilunga ngalinye esikhundleni sezixhumanisi ezingavuthiwe?
Amamodeli ngokuvamile akhipha imephu yokushisa ngejoyini ngalinye iphikseli yayo ekhanyayo ebonisa indawo ehlanganyelwe, eqeqesha ngokuzinza kunokuhlehla okuqondile.
I-Part Affinity Fields, esetshenziswa yi-OpenPose, isiza ngani?
Ingxenye I-Affinity Fields ihlanganisa isiqondiso somlenze njengamamephu e-vector, ivumela izindlela eziya phansi phezulu zixhumanise amaphoyinti angukhiye ngisho nalapho abantu begqagqene.
Kungani izindlela eziya phansi njenge-OpenPose zikhula kangcono ezigcawini eziminyene?
Izindlela eziya phansi phezulu zibona zonke iphoyinti elingukhiye esithombeni ngephasi eyodwa bese ziwahlanganisa, ngakho izindleko azikhuli ngomuntu ngamunye owengeziwe.