OEM Sabon Babban Taro na Rail Valve F00VC01329 Don 0445110168 169 284 315 injector

Gano rashin lahani na wurin zama na bawul ɗin injector na mota dangane da haɗin fasalin(Kashi na 3)

A sakamakon haka, a cikin gano wurin zama na bawul ɗin injector, hoton yana buƙatar matsawa, kuma ana sarrafa girman hoton zuwa 800 × 600, bayan samun daidaitattun bayanan hoto, ana amfani da hanyar haɓaka bayanai don guje wa ƙarancin bayanai. kuma ana haɓaka ƙarfin ƙirar gabaɗaya. Haɓaka bayanai muhimmin ɓangare ne na horar da ƙirar ilmantarwa mai zurfi [3]. Gabaɗaya akwai hanyoyi biyu don ƙara bayanai. Ɗaya shine ƙara Layer na ɓarna bayanai zuwa ƙirar hanyar sadarwa don ba da damar horar da hoton kowane lokaci, akwai wata hanyar da ta fi sauƙi kuma mai sauƙi, ana inganta samfuran hotuna ta hanyar sarrafa hoto kafin horo, muna fadada bayanan bayanan ta amfani da su. Hanyoyin haɓaka hoto kamar geometry da sararin launi, da amfani da HSV a cikin sararin launi, kamar yadda aka nuna a hoto 1.

Haɓaka Samfurin lahani na Saurin R-CNN A cikin mafi sauri R-CNN tsarin algorithm, da farko, kuna buƙatar fitar da fasalulluka na hoton shigarwar, kuma abubuwan fitarwa da aka fitar na iya shafar tasirin ganowa na ƙarshe kai tsaye. Tushen gano abu shine cire sifa. Hanyar hanyar sadarwa ta gama-gari a cikin mafi sauri R-CNN algorithm shine cibiyar sadarwar VGG-16. An fara amfani da wannan ƙirar hanyar sadarwa a cikin rarrabuwar hoto [4], sannan ta yi kyau a cikin rarrabuwar kawuna [5] da gano saliency [6].

Siffar hanyar sadarwar da aka cire a cikin mafi sauri R-CNN tsarin algorithm an saita zuwa VGG-16, kodayake samfurin algorithm yana da kyakkyawan aiki a cikin ganowa, yana amfani da fitowar taswirar taswirar kawai daga Layer na ƙarshe a cikin haɓakar fasalin hoto, don haka za'a kasance. wasu asara da taswirar fasalin ba za a iya cika cikakke ba, wanda zai haifar da kuskure wajen gano ƙananan abubuwan da aka yi niyya kuma ya shafi tasirin ganewa na ƙarshe.