Uhlolojikelele
Ukulinganisela ukujula kwe-monocular kubikezela ukuthi i-pixel ngayinye ikude kangakanani nesithombe esisodwa esijwayelekile - ayikho ikhamera ye-stereo, i-lidar, noma inzwa yokujula edingekayo. Ivumela ikhamera eyodwa ukuthi ibone isakhiwo se-3D kusukela kusithombe esiyisicaba se-2D.
I-Monocular Depth Estimation ingeyokugeleza komsebenzi wokubona ngekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule.
I-Deep Dive
Abantu bangahlulela ukujula ngeso elilodwa besebenzisa izinkomba ezifana nombono, usayizi ohlobene, ama-gradients wokuthungwa, ukufiphaza, nokuvala. Ukulinganisa ukujula kwe-monocular kufundisa amanethiwekhi e-neural iqhinga elifanayo: okuphakelayo ngesithombe esisodwa se-RGB futhi ukhiphe inani lokujula lephikseli ngayinye. Ngenxa yokuthi isithombe se-2D ngokwemvelo sinendida mayelana nesilinganiso esiphelele, umsebenzi unzima - izigcawu eziningi ze-3D zingavela esithombeni esifanayo. Amanethiwekhi afunda okubalulekile kwezibalo kumadathasethi amakhulu ukuze axazulule lokhu. Ukuqeqeshwa kuza ngezindlela ezimbili: okugadiwe, kusetshenziswa ukujula kweqiniso eliphansi kusuka kuzinzwa ze-lidar noma ze-RGB-D, kanye nokuzigada, okufunda ukujula kuphela kumapheya evidiyo noma e-stereo ngokuphoqelela ukuthi ukujula okubikezelwe kwenqaba ngokufanelekile ukubuka okukodwa kuya kokunye. Amamodeli esisekelo akamuva afana ne-MiDaS kanye ne-Depth Anything ajwayeleka ngokuphawulekayo kuzo zonke izigcawu ezingabonakali.
I-Technical Insight
Izindlela zokuzigada zisebenzisa i-geometry esikhundleni samalebula. Njengoba kunikezwe ukubukwa okubili (i-stereo noma amafreyimu evidiyo alandelanayo) kanye nemephu yokujula ebikezelwe kanye nokunyakaza kwekhamera, imodeli isonta isithombe esisodwa ukuze yakhe kabusha esinye; iphutha lokwakha kabusha izinga le-pixel liba isignali yokuqeqesha. Lokhu kulahlekelwa kwe-'buka-synthesis' kusho ukujula kungafundwa kuvidiyo eluhlaza, engenalebuli. Umkhawulo oyinhloko ukungaqondakali kwesikali: ukujula kwe-monocular ngokuvamile kulungiswa kuphela kuze kufike kusiphindaphindi esingaziwa ngaphandle kwalapho kulinganiswa nereferensi eyaziwayo noma ukugadwa kwemethrikhi.
I-Mastering Monocular Depth Estimation
Ukulinganisela ukujula kwe-monocular kubikezela ukuthi i-pixel ngayinye ikude kangakanani nesithombe esisodwa esijwayelekile - ayikho ikhamera ye-stereo, i-lidar, noma inzwa yokujula edingekayo. Ivumela ikhamera eyodwa ukuthi ibone isakhiwo se-3D kusukela kusithombe esiyisicaba se-2D. I-Monocular Depth Estimation ingeyokugeleza komsebenzi wokubona ngekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule. Ukuze wakhe ukuqonda okujulile, phatha i-Monocular Depth Estimation njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa ukunemba kwebhalansi ye-Monocular Depth Estimation namaqiniso okusebenza njengekhwalithi yedatha, ukuhluka kokukhanya, nokuvumelana kwamalebula. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ngesikhathi esifanayo, amalungelo ezithombe kanye nemvume kungaba ubungozi bomthetho uma ukutholakala kungacacile. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Imodi yokuma ngobude be-smartphone ilingisa ukufiphala kwengemuva (i-bokeh) ngokulinganisa ibanga lesihloko ngokuqhathaniswa nengemuva
Izinhlelo zokusebenza ze-augmented reality zibeka izinto ezibonakalayo ukuze zihlale kahle ngemuva kwefenisha yomhlaba wangempela
Ama-drones namarobhothi abiza kancane agwema izithiyo esebenzisa ikhamera eyodwa ebheke phambili
Ukuguqula izithombe namafilimu e-2D kube yi-3D ngokukhomba ukujula kwephikiseli ngayinye ukuze kuboniswe i-stereoscopic
Amaphethini Okusebenzisa
I-Monocular Depth Estimation in practice
Imodi yokuma ngobude be-smartphone ilingisa ukufiphala kwengemuva (i-bokeh) ngokulinganisa ibanga lesihloko ngokuqhathaniswa nengemuva.
Imodi yokuma ngobude be-smartphone ilingisa ukufiphala kwangemuva (i-bokeh) ngokulinganisa ibanga lesihloko kuqhathaniswa nengemuva Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Monocular Depth Estimation in practice
Izinhlelo zokusebenza ze-augmented reality zibeka izinto ezibonakalayo ukuze zihlale kahle ngemuva kwefenisha yomhlaba wangempela.
Izinhlelo zokusebenza ze-augmented reality zibeka izinto ezibonakalayo ukuze zihlale kahle ngemva kwefenisha yomhlaba wangempela Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Monocular Depth Estimation in practice
Ama-drones namarobhothi abiza kancane agwema izithiyo esebenzisa ikhamera eyodwa ebheke phambili.
Ama-drones namarobhothi ashibhile agwema izithiyo zisebenzisa ikhamera eyodwa ebheke phambili Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Monocular Depth Estimation in practice
Iguqulela izithombe namafilimu e-2D ku-3D ngokuqonda ukujula kwephikiseli ngayinye ukuze kuboniswe i-stereoscopic.
Ukuguqula izithombe namafilimu e-2D kube yi-3D ngokubheka ukujula kwephikiseli ngayinye ukuze uthole amathimba abonisa i-stereoscopic Amaqembu ngokuvamile athola imiphumela engcono uma echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
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.
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Hlola ngedatha efana nezimo zangempela zokukhiqiza.
Hlola ngedatha efana nezimo zangempela zokukhiqiza. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.