Bafuputsi ba tsoang laboratoring
Ho sebetsana le linepe ka ts'ebeliso e reriloeng pele u phatlalatsa marang-rang a sechaba le li-platform tse ling tsa sechaba ho u lumella ho sireletsa mosebelisi ho sebelisa data ea lifoto joalo ka mohloli oa ho koetlisa litsamaiso tsa ho lemoha sefahleho. Algorithm e reriloeng e fana ka tšireletso khahlanong le 95% ea liteko tsa ho lemoha sefahleho (bakeng sa Microsoft Azure recognition API, Amazon Rekognition le Face ++, ts'ireletso ea ts'ireletso ke 100%). Ho feta moo, esita le haeba nakong e tlang lifoto tsa pele, tse sa sebelisoang ke lisebelisoa, li sebelisoa ka mokhoa o seng o ntse o koetlisitsoe ho sebelisa liphetolelo tse sothehileng tsa lifoto, boemo ba ho hlōleha ho amoheloa bo ntse bo tšoana 'me bonyane ke 80%.
Mokhoa ona o thehiloe ketsahalong ea "mehlala ea bahanyetsi", moelelo oa eona ke hore liphetoho tse nyenyane tsa data ea ho kenya li ka lebisa liphetohong tse tsotehang ho logic ea lihlopha. Hona joale, ts'ebetso ea "mehlala ea lira" ke e 'ngoe ea mathata a ka sehloohong a sa rarolloang mecheng ea ho ithuta ea mochine. Nakong e tlang, moloko o mocha oa mekhoa ea ho ithuta mochine o lebeletsoe ho hlaha o se nang bothata bona, empa mekhoa ena e tla hloka liphetoho tse kholo mohahong le mokhoa oa ho etsa mehlala ea mohaho.
Ho sebetsana le linepe ho theohile ho eketsa motsoako oa lipikselse (lihlopha) setšoantšong, tse bonoang ke li-algorithms tsa ho ithuta ka mochini e le lipaterone tsa ntho e tšoantšitsoeng 'me li lebisa ho khopameng ea likarolo tse sebelisetsoang ho arola. Liphetoho tse joalo ha li hlahelle ho sete e akaretsang mme ho thata haholo ho li lemoha le ho li tlosa. Esita le ka litšoantšo tsa pele le tse fetotsoeng, ho thata ho tseba hore na ke efe ea pele le hore na ke efe e fetotsoeng.
Liphetoho tse hlahisitsoeng li bonts'a khanyetso e phahameng ho thehoeng ha mehato e reretsoeng ho khetholla linepe tse tlolang kaho e nepahetseng ea mefuta ea ho ithuta ea mochini. Ho kenyelletsa mekhoa e ipapisitseng le ho fifatsa, ho eketsa lerata, kapa ho sebelisa lihloela setšoantšong ho hatella metsoako ea pixel ha e sebetse. Bothata ke hore ha li-filters li sebelisoa, ho nepahala ha lihlopha ho theoha ka potlako ho feta ho fumanoa ha mekhoa ea pixel, 'me boemong ba ha ho khopama ho hatelloa, boemo ba ho tsebahala bo ke ke ba hlola bo nkoa bo amoheleha.
Hoa hlokomeloa hore, joalo ka mahlale a mang a mangata a ho sireletsa boinotši, mokhoa o reriloeng o ka sebelisoa eseng feela ho loants'a ts'ebeliso e sa lumelloeng ea litšoantšo tsa sechaba lits'ebetsong tsa kananelo, empa hape e le sesebelisoa sa ho pata bahlaseli. Bafuputsi ba lumela hore mathata a ho tsebahala a ka 'na a ama haholo-holo litšebeletso tsa mekhatlo ea boraro e bokellang boitsebiso ka mokhoa o sa laoleheng le ntle le tumello ea ho koetlisa mehlala ea bona (mohlala, tšebeletso ea Clearview.ai e fana ka database ea ho lemoha sefahleho,
Har'a tsoelo-pele e sebetsang e haufi le morero, re ka hlokomela morero
Source: opennet.ru