Uhlolojikelele
Ukuhlukaniswa kwe-panoptic kunikeza iphikseli ngalinye elilodwa elisesithombeni ilebula, okuhlanganisa 'iyini lesi sifunda' 'nokuthi iyiphi into ethile lena.' Iwuhlobo oluphelele kakhulu lokuqonda isigcawu ekuboneni ngekhompyutha.
I-Panoptic Segmentation ingeyokugeleza kokusebenza kombono wekhompyutha ohumusha noma okhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule.
I-Deep Dive
Ukubona ngekhompyutha isikhathi eside kwakunemisebenzi emibili ehlukene. Isegimenti ye-Semantic ilebula iphikseli ngayinye ngesigaba (umgwaqo, isibhakabhaka, umuntu) kodwa ayikwazi ukuhlukanisa abantu ababili. Isegimenti yesibonelo ithola futhi iveze izinto ezingabalwa ngazinye kodwa iziba 'izinto' zasemuva njengesibhakabhaka noma utshani. Ukuhlukaniswa kwe-Panoptic, okwenziwe ngokusemthethweni abacwaningi be-Facebook AI ngo-2018, kuhlanganisa kokubili: kwabela iphikseli ngalinye isigaba, futhi 'kwizinto' ezibalekayo futhi kunikeza i-ID yesibonelo esiyingqayizivele. Umphumela uba imephu eyodwa ehambisanayo engenazikhala noma ukugqagqana. Ikhwalithi ikalwa ngekhwalithi ye-Panoptic (PQ), ehlanganisa ukuthi izifunda zibonwa ngokunembe kangakanani nokuthi imingcele yazo ifana kahle kangakanani. Kubalulekile noma yikuphi lapho umshini kufanele uqonde indawo yonke ngokuphelele, njengemoto ezishayelayo etolika umgwaqo.
I-Technical Insight
Amamodeli e-panoptic ahlukanisa amalebula abe 'izinto' (izinto ezibalwayo njengezimoto nabantu, abathola ama-ID esibonelo) kanye 'nezinto' (izifunda ezine-amorphous njengomgwaqo noma isibhakabhaka, ezingawatholi). Amasistimu angaphambili abesebenzisa amagatsha e-semantic ahlukene kanye nesibonelo, abe esewahlanganisa nemithetho ukuze axazulule ukungqubuzana kwamaphikseli. Izindlela ezintsha ezisekelwe ku-transformer ezifana ne-Mask2Former zibikezela isethi yomamaski abanamalebula ekilasi ahlotshaniswayo ngokuqondile, ephatha kokubili izinto nezinto ngesakhiwo esisodwa esihlanganisiwe.
I-Mastering Panoptic Segmentation
Ukuhlukaniswa kwe-panoptic kunikeza iphikseli ngalinye elilodwa elisesithombeni ilebula, okuhlanganisa 'iyini lesi sifunda' 'nokuthi iyiphi into ethile lena.' Iwuhlobo oluphelele kakhulu lokuqonda isigcawu ekuboneni ngekhompyutha. I-Panoptic Segmentation ingeyokugeleza kokusebenza kombono wekhompyutha ohumusha noma okhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule. Ukuze wakhe ukuqonda okujulile, phatha i-Panoptic Segmentation njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, cacisa ukuqagela, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa ukunemba kwebhalansi ye-Panoptic Segmentation 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
Izimoto ezizimele zakha imephu yeleveli yephikseli ephelele ehlukanisa imoto ngayinye, abahamba ngezinyawo, umgwaqo, nomgwaqo
Izithombe zezokwelapha ezilebula izifunda zesitho ngenkathi kubalwa izilonda ezingazodwana noma amaseli
Izinhlelo zokusebenza ze-augmented reality ezihlukanisa yonke into nendawo ukuze zibeke okuqukethwe okubonakalayo ngokweqiniso
Amasistimu wamarobhothi ahlaziya ngokugcwele indawo ephithene ukuze ahlele ukubamba nokuzulazula
Amaphethini Okusebenzisa
I-Panoptic Segmentation ekusebenzeni
Izimoto ezizimele zakha imephu yeleveli yephikseli ephelele ehlukanisa imoto ngayinye, abahamba ngezinyawo, umgwaqo, kanye nomgwaqo.
Izimoto ezizimele ezakha imephu yeleveli yephikseli ephelele ehlukanisa imoto ngayinye, abahamba ngezinyawo, umgwaqo, kanye nendledlana yomgwaqo Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Panoptic Segmentation ekusebenzeni
Izithombe zezokwelapha ezilebula izifunda zesitho ngenkathi kubalwa izilonda ezingazodwana noma amaseli.
Isithombe sezokwelapha esilebula izifunda zesitho kuyilapho sibala izilonda ngazinye noma amaseli Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Panoptic Segmentation ekusebenzeni
Izinhlelo zokusebenza ze-augmented reality ezihlukanisa yonke into nendawo ukuze zibeke okuqukethwe okubonakalayo ngokweqiniso.
Izinhlelo zokusebenza ze-augmented reality ezihlukanisa yonke into nendawo ukuze zibeke okuqukethwe okubonakalayo ngendlela engokoqobo Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Panoptic Segmentation ekusebenzeni
Amasistimu wamarobhothi ahlaziya ngokugcwele indawo ephithene ukuze ahlele ukubamba nokuzulazula.
Amasistimu wamarobhothi ahlahlela ngokugcwele indawo eyimfuhlumfuhlu ukuze ahlele ukubamba nokubamba Amathimba okuzulazula ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela 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.