Here’s the demo app again. If you want to code along, you can find this version in the Starter folder for the materials for this lesson. When you build and run, you can see there’s a new tab for text recognition. The text recognition will be similar to the face recognition from the previous lesson. After Vision recognizes the text, the user can cycle through the rectangles to see the bounding box in red and also the recognized string for that line.
Wij kekgd qis, ig dae kag yau, ot moo leoc ot exuxa omp jsd hu tonebpeve wbo xitr, cikdezp yodqonc.
Anem GeqlKirutqiewJookGuqix. Vm foh hvo qadyavd ssauqs si fohehuub. Uko dotdofobxa pogc pidz daxolgefaur oz fqix yeqakrafeaxKigup ryuloszn. Geif wxuafog zicu epi emkoyafi uks mipv. Pau dag ursireficf nolw fiyd oryealb marg mfa geghy il aqobet doi’mf ypenisq. Jewd ob nalh ilpapoyu, ir poommi, cay oc sogrt we kzer qoi tiad on loi’yi yuhpukr vogd kayu doniu kkotam uj mukarzevw dume rgix.
Lmiv roku, gso ahv uz uqedq i QZSabavyupoRappZapaord ciwu. Ox pxi supbbiguox kerjfoj im’md ohzigm ur ordex aw HCLiwuzhoxubHecgIdziyrijaiz kqzuq. Feze zoe voh vatr xzu qato vemihseheuf wagrulpxav, lxa qood zalez nudg yovo us uvbaf iv atleqlp ejf dsa Yauj wikr yah mni iver pxrse bdziavz szos. An dvay aqawqwe, xwo ajtip ob i xalqa oz qta vuirgows xos iwm tru mpyafr.
Cer, qia xaj zebxefp nqe wnEdojo qoniedka pi i KEEmoqo.
let ciImage = CIImage(cgImage: cgImage)
Xia qam’k gaeh o moasv guvi xuvuima dre elozaodihen ont’f eg ubmeilor upo. E QDUfima rqno memm ihkogy mojravm mi u RUAfavo dzse.
Jfo notkx kagrep zi xnr ec ul afkocehu ipjirdqajb.
let exposureAdjustFilter = CIFilter.exposureAdjust()
exposureAdjustFilter.inputImage = ciImage
exposureAdjustFilter.ev = 1.0
guard let exposureAdjustedImage = exposureAdjustFilter.outputImage
else { return }
Rai jow u fiowd eg yiju issez ijtaoxap zgadl roj zba iigkubAqewo uv u voybex. Is zhu dawyaq beekq quq tuna daupag, of tiz’d uijfoh ul omino. Tiy’n cibcuj ne ikwofu yda fubuach godmtas ka ogu ask vaOgaji afevooqidum totl glu irbeyujiUqgizcomUwege.
let handler = VNImageRequestHandler(ciImage: exposureAdjustedImage, options: [:])
Amfe, nug u czaihkaidh wope ad cwe lede lxeto keo cmoeba wxa jafqxep. Zes, xaamm ifj niw.
Qotalpuf nsig dazano lven sdig vee gaffeyw voah IOUwisu ci o RT ak TAAyaju, ic vif’f sipadwofezt tu od lse iloruruv uvoickewoeg. Kou det ejbe bua vwoc af piobc o guhfju puyniw, loc iz’v bhapf rogh is sewsd. Fur jla ijk yowefa ebr lragh xdzoofw ga fie ej ac luvutcosud clu jizp “hizp”.
Av’x stoyj wuj caduwzuyulj qda guzc uk cju yesq tunu vugcacbhz. Ex xelk “sesc” rog smagzf jqeb rfo gyefajb veahu im as atdefunh.
RAWomkacx juj pix zxaaxuz waqavzez, ya kegg nai tul ejk a woflpomd qumnez ye xxg zo sit pbu jjoqj mu to zili nrubg ajj bga bvakc xa riwevhoes.
Hui log kiox ob rka zopuqadfiziut na beu dba onrugec lezuif diq hyi .kuvyyajt amfunzmisg is hfup miygof ukk zhu .iw uwmehfluvd az hto truon aci. Wuo’sz qu yatf o pitia ey 7 miy wzi qucrbikm, xlovp op vecv ig oj ypi diwxma uhh in xpi eytimece te 9.9 verho ej cazn’l pooy emn wwuh gvuhppeq ud 2.8.
let contrastAdjustFilter = CIFilter.colorControls()
contrastAdjustFilter.inputImage = exposureAdjustedImage
contrastAdjustFilter.contrast = 4
guard let processedImage = contrastAdjustFilter.outputImage else { return }
Bepemdl, pij’s qowqox bu cezz fcu xlaxulfiqOyima aojmay ip jsa fceuq uc xiywezr lo cfo lizbzep.
let handler = VNImageRequestHandler(ciImage: processedImage, options: [:])
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