Ukufaniswa kwesithombe
Ukumatanisa isithombe kuwubuciko bokusika isihloko esinesithombe esinama-pixel-perfect, imiphetho ebonisa ngale - ukuthatha yonke imicu ehlakaniphile yezinwele noma ukufiphala okunyakazayo.
Uhlolojikelele
Unlike simple segmentation, it estimates how much of each pixel belongs to the foreground.
I-Deep Dive
I-Matting ixazulula isibalo esihlanganisayo: ipixel ngayinye eqashiwe iyinhlanganisela yombala ongaphambili nombala wangemuva, oxutshwe inani le-alpha eliphakathi kuka-0 no-1. Umgomo uwukubuyisela leyo alpha matte — imaski ethambile lapho u-1 engaphambili ngokugcwele, u-0 ungemuva ngokugcwele, futhi amanani amafrakshini athwebula izifunda ezingacacile noma ezikhanyayo. Lokhu akucaciswanga kahle ngokwezibalo, ngakho-ke izindlela zakudala zincike kumephu ewunxantathu edwetshwe ngumsebenzisi emaka indawo yangaphambili eqondile, ingemuva eliqondile, nezindawo ezingaziwa. Izindlela zokufunda ezijulile ezifana ne-Deep Image Matting (2017) zifunda ukubikezela i-alpha ngokuqondile ezithombeni nama-trimaps, kuyilapho amamodeli amasha angenayo i-trimap njenge-MODNet kanye ne-Robust Video Matting alinganisela i-matte ngesikhathi sangempela kusukela kusithombe-kume ngobude noma okuphakelayo kwekhamera yewebhu kuphela.
I-Technical Insight
Imodeli eyinhloko ithi I = alpha*F + (1 - alpha)*B, lapho ngiyiphikseli, u-F no-B banemibala yangaphambili nengemuva, futhi i-alpha iwukufiphala. Ngabathathu abaziwayo (i-pixel ye-RGB) kanye nokungaziwa okuyisikhombisa, inkinga idinga okubalulekile noma ukuqondiswa. Amanethiwekhi ama-Neural matting ahlehla ku-alpha esebenzisa izakhiwo zesikhiphi khodi, ngokuvamile anesigaba sokuhluza esihlukile esilola imiphetho. Ukulahlekelwa kuhlanganisa iphutha lokubikezela i-alpha nokulahlekelwa kokubhaliwe okuhlanganisa kabusha ukubikezela futhi kusiqhathanise nesithombe sokuqala.
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 Lokufanisa Isithombe
Ukukhwelana kuqhubekela ku-othomathikhi ngokugcwele, ngesikhathi sangempela, okusebenza ngaphandle kwe-trimap kuvidiyo — kakade inika amandla ukushintshwa kwangemuva ezingcingweni zevidiyo. Ucwaningo luphusha ukucaca okuphakeme, ukuphatha okungcono ukukhanya okuyinkimbinkimbi njengengilazi nentuthu, nokuhlanganiswa okuqinile namamodeli akhiqizayo okukhanyisa kabusha nokuhlanganisa okungenazihibe. Lindela ukuhlanganisa ukuze kuhlanganiswe namapayipi wokuhlela asekelwe ekusakazweni, ukuze ukusika isihloko bese usibeka esigcawini esisha, esingaguquki ukukhanya kube isinyathelo esisodwa esizenzakalelayo kumadivayisi omthengi.
Ukuqaliswa Komhlaba Wangempela
Isizinda esibonakalayo senkomfa ngevidiyo, sithatha indawo yegumbi elingemva kwesipikha ngesikhathi sangempela
Ifilimu ne-TV ehlanganisa isikrini esiluhlaza, ikhipha abalingisi abanemiphetho yezinwele ezihlanzekile ze-VFX
Izithombe zomkhiqizo we-E-commerce, ukubeka izinto kungemuva elimhlophe elihlanzekile ngokuzenzakalelayo
Imodi yokuma ngobude nokudala izitikha ezinhlelweni zokusebenza zefoni, ukunqamula abantu ukuze babelane nomphakathi
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
Imagen Umbhalo-kuya-Isithombe
Imibuzo evame ukubuzwa
What is Image Matting?
Ukumatanisa isithombe kuwubuciko bokusika isihloko esinesithombe esinama-pixel-perfect, imiphetho ebonisa ngale - ukuthatha yonke imicu ehlakaniphile yezinwele noma ukufiphala okunyakazayo. Ngokungafani nokuhlukaniswa okulula, ilinganisela ukuthi ingakanani iphikseli ngayinye engaphambili.
Imelelani i-alpha matte ekuhlanganisweni kwesithombe?
I-Alpha iwukukhanya kwephikiseli ngayinye: 1 ingaphambili eligcwele, 0 ingemuva eligcwele, futhi amafrakshini athwebula izifunda ezithambile noma ezibonisa ngale.
Ngabe ukukhwelana kuhluke kanjani ekuhlukaniseni kanambambili?
Ukuhlukaniswa kunikeza ilebula yangaphambili/ingemuva eliqinile, kuyilapho ukulinganisa kuthola amanani aqhubekayo e-alpha ngemininingwane emihle, ebonisa ngale.
Iyini i-trimap ku-matting yakudala?
I-trimap ihlukanisa isithombe sibe ngaphambili okwaziwayo, ingemuva elaziwayo, nebhendi engaziwa lapho i-alpha kufanele ixazululwe.
Yini ephawulekayo ngamamodeli afana ne-MODNet kanye ne-Robust Video Matting?
Lawa manethiwekhi amasha alinganisela i-alpha matte ngokuqondile ekumeni ngobude noma kuvidiyo ngaphandle kokudinga i-trimap ehlinzekwe ngumsebenzisi.
Yikuphi ukulahlekelwa okuvame ukuhlanganiswa nephutha lokubikezela i-alpha ekuhlanganisweni okujulile?
Ukulahlekelwa kokubhaliwe kuhlanganisa okungaphambili nangemuva kusetshenziswa i-alpha ebikezelwe futhi kuqhathanise umphumela nokokufaka, kuthuthukisa ukunemba.