Visionで変わるiOSのアプリ開発

7JTJPOͰมΘΔJ04ͷΞϓϦ։ൃ ాத޹໌ ϞόΠϧΞϓϦαʔϏε෦

ࣗݾ঺հ ాத޹໌ wϞόΠϧΞϓϦαʔϏε෦ w J04ΞϓϦΤϯδχΞ w αʔόʔαΠυΞϓϦΤϯδχΞ wαʔόʔϨε։ൃ෦ w
ΞϓϦέʔγϣϯΤϯδχΞ

ࣗݾ঺հ ݄ΑΓ෱ԬΦϑΟεͷϝϯόʔ ͱͯ͠ಇ͍͍ͯ·͢

Visionʹ͍ͭͯ

ࣗݾ঺հ

88%$Ͱൃද͞Εͨ಺༰ ৽نͰ௥Ճ͞Εͨػೳ܈ w4XJGU w"3,JU w7JTJPO w$PSF.- w.VTJD,JU w'JMFT

7JTJPOʹ͍ͭͯ 7JTJPOͱ͸ wߴੑೳͳը૾ղੳϑϨʔϜϫʔΫ wΦϒδΣΫτͷݕग़ɾ௥੻ɾ෼ྨͳͲʹରԠ wJ044%,͔Βར༻Մೳ w$PSF.-ʢޙड़ʣͱ࿈ܞ

إݕग़

إݕग़ʢখ͍͞إʣ

إݕग़ʢԣإʣ

إݕग़ʢ෦෼తด࠹ʣ

إݕग़ʢ๧ࢠͱαϯάϥεʣ

إಛ௃఺ݕग़

ը૾ϨδετϨʔγϣϯʢෳ਺ͷσʔλΛͭͷ࠲ඪܥʹม׵ʣ

ۣܗݕग़

όʔίʔυݕग़

ςΩετݕग़

ΦϒδΣΫττϥοΩϯά

VisionͰͷը૾ղੳ

ը૾ղੳ 7JTJPOΛར༻ͨ͠ը૾ղੳͷϓϩηε w3FRVFTU w3FRVFTU)BOEMFS w0CTFSWBUJPO

ը૾ղੳ 3FRVFTU wը૾ʹରͯ͠ͲͷΑ͏ͳཁٻΛߦ͏͔ʹΑͬͯΫϥεΛ࢖͍෼͚Δ  إݕग़ 7/%FUFDU'BDF3FDUBOHMFT3FRVFTU
إϥϯυϚʔΫݕग़ 7/%FUFDU'BDF-BOENBSLT3FRVFTU ը૾ϨδετϨʔγϣϯ 7/*NBHF3FHJTUSBUJPO3FRVFTU ۣܗݕग़ 7/%FUFDU3FDUBOHMFT3FRVFTU όʔίʔυݕग़ 7/%FUFDU#BSDPEFT3FRVFTU ςΩετݕग़ 7/%FUFDU5FYU3FDUBOHMFT3FRVFTU ΦϒδΣΫττϥοΩϯά 7/5SBDL0CKFDU3FRVFTU

ը૾ղੳ 3FRVFTU)BOEMFS wཁٻ͔ΒฦͬͯདྷΔॲཧΛϋϯυϦϯά͢Δ  ը૾ͷղੳॲཧΛϋϯυϦϯά ɹ7/*NBHF3FRVFTU)BOEMFS τϥοΩϯά΍ը૾ϨδετϨʔγϣϯͷϋϯυϦϯά
ɹ7/4FRVFODF3FRVFTU)BOEMFS

ը૾ղੳ 0CTFSWBUJPO wཁٻ͔ΒฦͬͯདྷΔ݁Ռ  إݕग़ 7/'BDF0CTFSWBUJPO
إϥϯυϚʔΫݕग़ 7/'BDF0CTFSWBUJPO ը૾ϨδετϨʔγϣϯ 7/*NBHF"MJHONFOU0CTFSWBUJPO ۣܗݕग़ 7/3FDUBOHMF0CTFSWBUJPO όʔίʔυݕग़ 7/#BSDPEF0CTFSWBUJPO ςΩετݕग़ 7/5FYU0CTFSWBUJPO ΦϒδΣΫττϥοΩϯά 7/%FUFDUFE0CKFDU0CTFSWBUJPO

ը૾ղੳ ࣮૷ wཉ͍͠ը૾ղੳʹରԠͨ͠3FRVFTUΛ 7/*NBHF3FRVFTU)BOEFS΁౉͢  let request = VNDetectFaceRectanglesRequest {
(request, error) in for observation in request.results as! [VNFaceObservation] { // TODO: VNFaceObservationΛݩʹॲཧΛ͢Δ } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) }

(request, error) in for observation in request.results as! [VNFaceObservation] { // TODO: VNFaceObservationΛݩʹॲཧΛ͢Δ } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) } إݕग़༻ͷ7/3FRVFTUΛ࡞੒

(request, error) in for observation in request.results as! [VNFaceObservation] { // TODO: VNFaceObservationΛݩʹॲཧΛ͢Δ } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) } 7/*NBHF3FRVFTU)BOEMFS࡞੒࣌ʹإݕग़Λߦ͍ͨ ͍ը૾Λࢦఆ

(request, error) in for observation in request.results as! [VNFaceObservation] { // TODO: VNFaceObservationΛݩʹॲཧΛ͢Δ } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) } 3FRVFTUΛҾ਺ʹࢦఆͯ͠QFSGPSNΛίʔϧ

(request, error) in for observation in request.results as! [VNFaceObservation] { // TODO: VNFaceObservationΛݩʹॲཧΛ͢Δ } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) } ը૾͔Βࢦఆͨ͠ϦΫΤετʹϚονͨ݁͠Ռ͕ม͑ ͯདྷΔͱɺSFRVFTUͷSFTVMUTʹղੳ݁Ռ͕ฦͬͯ͘Δ

ը૾ղੳ ࣮૷ wࢼ͠ʹ݁ՌΛड͚औͬͯΈΔ  let request = VNDetectFaceRectanglesRequest { (request,
error) in for observation in request.results as! [VNFaceObservation] { print(observation) } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) }

ը૾ղੳ ࣮૷ wࢼ͠ʹ݁ՌΛड͚औͬͯΈΔ  let request = VNDetectFaceRectanglesRequest { (request,
error) in for observation in request.results as! [VNFaceObservation] { print(observation) } if let cgImage = image.cgImage { let handler = VNImageRequestHandler(cgImage: cgImage, options: [:]) try? handler.perform([request]) } <VNFaceObservation: 0x604000182700> 68149739- D1B0-4E89-8FB2-44F33969FAED 1 [0.557461 0.616566 0.069802 0.0930694] ID=0 <VNFaceObservation: 0x6040001828a0> D113842C- B9CA-4D70-88CE-74814860D383 1 [0.722581 0.400897 0.0740046 0.0986728] ID=0 <VNFaceObservation: 0x600000182e50> 69A72E48-0270-4687- B0B4-4F57A8E5DEA3 1 [0.28446 0.639232 0.0771421 0.102856] ID=0

ը૾ղੳ 7/'BDF0CTFSWBUJPOͷར༻ wը૾αΠζʹରԠ͢Δൺ཰Ͱݕग़Օॴͷۣܗ৘ ใ͕ฦͬͯདྷΔ w ݪ఺
w αΠζ <VNFaceObservation: 0x6040001828a0> D113842C- B9CA-4D70-88CE-74814860D383 1 [0.722581 0.400897 0.0740046 0.0986728] ID=0

7JTJPOͷ·ͱΊ 7JTJPOͰͰ͖Δ͜ͱ w3FRVFTUΛੜ੒͢Δ wը૾σʔλΛ౉͠3FRVFTU)BOEMFSΛੜ੒͢Δ w3FRVFTU)BOEMFSʹ3FRVFTUΛ౉͠ɺղੳॲཧΛ࣮ ߦ͢Δ w0CTFSWBUJPO͔Β݁ՌΛड͚औΔ w݁ՌΛը૾ʹඳըͨ͠ΓΧϝϥΛར༻ͯ͠ϦΞϧλΠ Ϝʹղੳ͢Δͱ͍͏ॲཧΛߦ͍͍ͨ৔߹͸ࣗલͰ࣮૷
͢Δඞཁ͕͋Γ·͢

Vision ͱ Core ML ͷؔ܎

88%$Ͱൃද͞Εͨ಺༰ ৽نͰ௥Ճ͞Εͨػೳ܈ w4XJGU w"3,JU w7JTJPO w$PSF.- w.VTJD,JU w'JMFT

$PSF.-ʹ͍ͭͯ $PSF.-ͱ͸ wػցֶश༻ϑϨʔϜϫʔΫ wֶशϞσϧΛJ04NBD04ͷΞϓϦͰར༻͢ Δࡍʹ։ൃऀ͕ػցֶशʹର͢Δઐ໳తͳ஌ࣝ Λඞཁͱͤͣʹѻ͑ΔΑ͏ʹͨ͠

$PSF.-ʹ͍ͭͯ $PSF.-ͱ͸ w7JTJPO/-1Ͱར༻͞Ε͓ͯΓɺ։ൃऀ͕௚ ઀৮Δͷ͕ࠔ೉ͳػೳ܈Λϥοϓ͍ͯ͠Δ

$PSF.-ʹ͍ͭͯ ֶशϞσϧΛΞϓϦʹ૊ΈࠐΊΔ wֶशϞσϧΛΞϓϦ಺ʹ૊ΈࠐΈɺֶश݁ՌΛ ड͚औΔػೳʹಛԽ͍ͯ͠ΔͨΊɺҎԼͷϝϦο τ͕͋Δ w ωοτϫʔΫͷঢ়ଶʹґଘͤͣɺ݁ՌΛฦͤΔ w ॲཧ଎౓͸σόΠεͷ$16ʹґଘ͢ΔͨΊɺࠓޙͷσόΠε
ͷਐԽʹΑΓߴ଎ʹॲཧ͕Մೳ w ֶशϞσϧ΁ͷΠϯϓοτʢը૾΍ݴޠʣΛαʔόʔʹૹΒ ͳ͍ͨΊɺϓϥΠόγʔ΁഑ྀͰ͖Δ

$PSF.-ʹ͍ͭͯ ΞϓϦͰར༻Ͱ͖Δܗࣜ΁ͷม׵ wֶशϞσϧΛ$PSF.-NPEFMʢ.-.0%&-ܗ ࣜʣ΁ม׵͠ɺ9DPEFʹ૊ΈࠐΉ͜ͱͰɺ .-.PEFMͱ͍͏໊ͷΫϥεͱͯ͠ར༻͢Δ͜ ͱ͕Ͱ͖Δ w.-.PEFMͷFYUFOTJPOʹࢦఆͨ͠63-͔Β .-.0%&-Λऔಘ͠ɺίϯύΠϧ͢Δػೳ͕ ͋ΔͨΊɺΞϓϦϦϦʔεޙͷֶशϞσϧͷม
Խʹ΋ରԠͰ͖Δ

$PSF.-ʹ͍ͭͯ

$PSF.-ʹ͍ͭͯ ରԠ͍ͯ͠ΔֶशϞσϧ w֤छͷػցֶशϥΠϒϥϦ͕ग़ྗֶͨ͠शϞσ ϧΛαϙʔτ

ֶशϞσϧΛར༻ͯ͠ΈΔ

7JTJPO $PSF.- $PSF.-Ͱ࢖͑ΔֶशϞσϧΛखʹೖΕ Δํ๏ wطଘͷֶशϞσϧΛར༻͢Δ wػցֶशΤϯδχΞʹґཔ͠ɺֶशϞσϧΛੜ ੒ͯ͠΋Β͏ wࣗྗͰؤுΔ

7JTJPO $PSF.- طଘͷֶशϞσϧͷೖख w"QQMFͷϖʔδʹ.-.0%&-ܗࣜͷֶशϞσ ϧ͕ଘࡏ͢ΔͷͰɺ͙͢ʹར༻͢Δ͜ͱ͕Ͱ͖ ·͢

7JTJPO $PSF.- طଘͷֶशϞσϧͷೖख w෺ମೝࣝ w .PCJMF/FU w 4RVFF[F/FU w
3FT/FU w *ODFQUJPOW wγʔϯೝࣝ w 1MBDF(PPH-F/FU

7JTJPO $PSF.- طଘͷֶशϞσϧͷೖख w"XFTPNF$PSF.-.PEFMTͰެ։͞Ε͍ͯ ΔֶशϞσϧΛར༻͢Δ w IUUQTHJUIVCDPNMJLFEBO"XFTPNF$PSF.- .PEFMT

7JTJPO $PSF.- .-.0%&-ͷ໾ׂ wωοτϫʔΫߏ଄ɺֶशࡁΈͷॏΈΛอ࣋ wϓϩάϥϜ͔Βѻ͑ΔΠϯλʔϑΣʔεΛඋ͑ Δ wυΩϡϝϯτɾϝλσʔλ

7JTJPO $PSF.- 9DPEFʹ૊ΈࠐΉ wϓϩδΣΫτͷϑΝΠϧͱͯ͠௥Ճ͢Δ͚ͩͰ ར༻͢Δ४උ͸׬ྃ

7JTJPO $PSF.-

7JTJPO $PSF.- 9DPEFʹ૊ΈࠐΉ wϓϩδΣΫτʹ௥Ճ͢Δͱɺ.-.PEFMΫϥε ͱͯࣗ͠ಈม׵͞ΕɺϓϩάϥϜ͔ΒΞΫηε Ͱ͖ΔΑ͏ʹͳΔ

7JTJPO $PSF.- $PSF.-ར༻ͷϓϩηε w7/$PSF.-3FRVFTU w7/*NBHF3FRVFTU)BOEMFS w7/$MBTTJpDBUJPO0CTFSWBUJPO

7JTJPO $PSF.- ࣮૷ wར༻͢Δ.-.PEFMΫϥεΛ7/$PSF.-.PEFM Ϋϥεʹม׵  guard let mlmodel =
MobileNet().model() else { return } guard let coreMLModel = try? VNCoreMLModel(for: mlmodel) else { fatalError("faild create VMCoreMLModel") }

7JTJPO $PSF.- ࣮૷ w7/$PSF.-.PEFMʹରԠͨ͠3FRVFTUΛ 7/*NBHF3FRVFTU)BOEFS΁౉͢  let request = VNCoreMLRequest(model:
coreMLModel) { request, error in let results = request.results as? [VNClassificationObservation] // TODO: VNClassiﬁcationObservationͷ݁ՌͰॲཧΛߦ͏ } let handler = VNImageRequestHandler(ciImage: ciImage, options: [:]) guard (try? handler.perform([request])) != nil else { fatalError("faild handler.perform") } } ར༻ֶ͍ͨ͠शϞσϧΛݩʹ7/$PSF.-3FRVFTUΛ ੜ੒

coreMLModel) { request, error in let results = request.results as? [VNClassificationObservation] // TODO: VNClassiﬁcationObservationͷ݁ՌͰॲཧΛߦ͏ } let handler = VNImageRequestHandler(ciImage: ciImage, options: [:]) guard (try? handler.perform([request])) != nil else { fatalError("faild handler.perform") } } 7/*NBHF3FRVFTU)BOEMFS࡞੒࣌ʹֶशϞσϧͷ݁ ՌΛฦ͍ͨ͠ը૾Λࢦఆ

coreMLModel) { request, error in let results = request.results as? [VNClassificationObservation] // TODO: VNClassiﬁcationObservationͷ݁ՌͰॲཧΛߦ͏ } let handler = VNImageRequestHandler(ciImage: ciImage, options: [:]) guard (try? handler.perform([request])) != nil else { fatalError("faild handler.perform") } } 3FRVFTUΛҾ਺ʹࢦఆͯ͠QFSGPSNΛίʔϧ

coreMLModel) { request, error in let results = request.results as? [VNClassificationObservation] // TODO: VNClassiﬁcationObservationͷ݁ՌͰॲཧΛߦ͏ } let handler = VNImageRequestHandler(ciImage: ciImage, options: [:]) guard (try? handler.perform([request])) != nil else { fatalError("faild handler.perform") } } ը૾͔Βࢦఆͨ͠ϦΫΤετʹϚονͨ݁͠Ռ͕ม͑ ͯདྷΔͱɺSFRVFTUͷSFTVMUTʹղੳ݁Ռ͕ฦͬͯ͘Δ

$PSF.-ͷ·ͱΊ $PSF.-ͱ7JTJPOʹ͍ͭͯ w݁ՌΛड͚औΔ·Ͱͷϓϩηε͸إݕग़ͳͲͷ ը૾ղੳॲཧͱಉ༷ʹߦ͏͜ͱ͕Ͱ͖Δ wֶशϞσϧʹؔͯ͠͸ࣗ෼Ͱ४උ͢Δඞཁ͕͋ Δ

MLMODELΛ࡞ͬͯΈΔ

.-.0%&-ͷ࡞੒ $PSF.-Ͱ࢖͑ΔֶशϞσϧΛखʹೖΕ Δํ๏ wطଘͷֶशϞσϧΛར༻͢Δ wػցֶशΤϯδχΞʹґཔ͠ɺֶशϞσϧΛੜ ੒ͯ͠΋Β͏ wࣗྗͰؤுΔ

.-.0%&-ͷ࡞੒ DPSFNMUPPMTʹ͍ͭͯ w֤ػցֶशϥΠϒϥϦͰ࡞੒ֶͨ͠शϞσϧΛ .-.0%&-ʹม׵͢ΔίϚϯυϥΠϯπʔϧ IUUQTQZQJQZUIPOPSHQZQJDPSFNMUPPMT

.-.0%&-ͷ࡞੒ .-.0%&-ͷઆ໌ʢ௥هʣ w$PSF.-Λར༻͢Δʹ͋ͨͬͯɺ۩ମతʹ͸ɺ ,FSBT΍$B⒎FͷΑ͏ͳػցֶशϑϨʔϜ ϫʔΫ͕ग़ྗͨ͠Ϟσϧ͔ΒNMNPEFMͱ͍ ͏ϑΝΠϧΛ࡞੒͠ɺ͜ΕΛ9DPEFʹΠϯϙʔ τ͠·͢ɻ

.-.0%&-ͷ࡞੒ ରԠ͍ͯ͠ΔֶशϞσϧ w,FSBT͕࡞੒ֶͨ͠शϞσϧΛ࢖༻͢Δ͜ͱ͕ Մೳ

.-.0%&-ͷ࡞੒ IUUQTLFSBTJPKB ,FSBTʹ͍ͭͯ wσΟʔϓϥʔχϯά༻ͷϥΠϒϥϦ wόοΫΤϯυʹ5FOTPS'MPXΛར༻ w5FOTPS'MPXͷϥούʔͱͯ͠࡞੒͞Εͨ w$*'"3ͳͲͷαϯϓϧίʔυ΋ఏڙ͞Εͯ ͍ΔͷͰɺ৞ΈࠐΈχϡʔϥϧωοτϫʔΫͷ ֶशϞσϧΛ࡞੒͠΍͍͢

.-.0%&-ͷ࡞੒ $*'"3 IUUQXXXDTUPSPOUPFEVdLSJ[DJGBSIUNM

.-.0%&-ͷ࡞੒ $*'"3 IUUQXXXDTUPSPOUPFEVdLSJ[DJGBSIUNM $*'"3 wYͷը૾ຕͷσʔληοτ wτϨʔχϯάσʔλ͕ຕ wςετσʔλ͕ຕ wτϨʔχϯάσʔλͰֶशͨ͠ͷͪɺςετσʔ λΛ࢖ͬͯݕূ͢Δ

.-.0%&-ͷ࡞੒ ৞ΈࠐΈχϡʔϥϧωοτϫʔΫ wڭࢣ͋Γֶश wΠϯϓοτ͢Δॱ൪͕ؔ܎͋Δ wը૾ʹରͯ͠ϑΟϧλʔΛ͔͚Δ৞ΈࠐΈ૚ͱಛ ௃ͷղੳΛߦ͏ϓʔϦϯά૚Λ࣋ͭ wֶशϓϩάϥϜʹ͍ͭͯ͸,FSBTͷαϯϓϧΛࢀ ߟʹ࡞੒

.-.0%&-ͷ࡞੒ ,FSBTͷ$*'"3αϯϓϧ model = Sequential() model.add(Conv2D(32, (3, 3), padding='same',
input_shape=X_train.shape[1:])) model.add(Activation('relu')) model.add(Conv2D(32, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.25)) model.add(Conv2D(64, (3, 3), padding='same')) model.add(Activation('relu')) model.add(Conv2D(64, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.25)) model.add(Flatten()) model.add(Dense(512)) model.add(Activation('relu')) model.add(Dropout(0.5)) model.add(Dense(nb_classes)) model.add(Activation('softmax')) model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])

.-.0%&-ͷ࡞੒ σΟʔϓϥʔχϯάͷ࣮ߦ w(16͕ࡌ͍ͬͯΔ1$ͰֶशϓϩάϥϜΛ࣮ߦ ͢Δ

.-.0%&-ͷ࡞੒ .-.0%&-΁ͷม׵ w,FSBT͕࡞੒ֶͨ͠शϞσϧΛDPSFNMUPPMTΛ ࢖ͬͯ.-.0%&-΁ม׵͢Δ  path = './model.h5' import coremltools
coreml_model = coremltools.converters.keras.convert(path, input_names = 'image', image_input_names = 'image', class_labels = 'labels.txt') coreml_model.save('Food.mlmodel')

.-.0%&-ͷ࡞੒ .-.0%&-ͷར༻ w࡞੒ͨ͠.-.0%&-Λ9DPEFʹ૊ΈࠐΉ

·ͱΊ

·ͱΊ 7JTJPOͷؔ࿈ٕज़ wը૾ղੳʹಛԽ͍ͯ͠ΔͨΊɺࠓ·ͰࣗલͰ࣮ ૷͢Δඞཁͷ͋ͬͨίʔυ͕ෆཁʹͳΓɺ࠷ద Խ͞ΕͨύϑΥʔϚϯεͰར༻Ͱ͖Δ w$PSF.-ͱ૊Έ߹ΘͤΔ͜ͱͰػցֶशϞσϧ Λར༻ͨ͠ը૾ղੳ͕؆୯ʹߦ͑Δ wࠓޙͷϒϥ΢βͷਐԽʹ൐͍ɺωΠςΟϒΞϓ ϦͷϢχʔΫੑʹͳΓಘΔ 

ެࣜϦϯΫू #VJMENPSFJOUFMMJHFOUBQQTXJUINBDIJOFMFBSOJOH *OUSPEVDJOH$PSF.- $PSF.-JOEFQUI DPSFNMUPPMT
/BUVSBM-BOHVBHF1SPDFTTJOHBOEZPVS"QQT 7JTJPO /4-JOHVJTUJD5BH4DIFNF

ँࣙ <J04>ը૾ղੳϑϨʔϜϫʔΫ7JTJPOͰإೝࣝΛࢼͨ݁͠Ռ <J04>7JTJPO'SBNFXPSLͰը૾ͷࣝผΛࢼͯ͠Έ·ͨ͠88%$ <J04>$PSF.-Ͱը૾ͷࣝผΛࢼͯ͠Έ·ͨ͠ʢ7JTJPO'SBNFXPSLΛ࢖Θ ͳ͍ύλʔϯʣ88%$
<J04>Ի੠ೝ͔ࣝΒಘͨจষͷܗଶૉղੳͱ඼ࢺ෼ղΛͯ͠Έͨ ,FSBTͰ͸͡ΊΔ%FFQ-FBSOJOH ஶ໊ͳσΟʔϓϥʔχϯάϑϨʔϜϫʔΫΛαϙʔτ͢Δ"84७ਖ਼".*ɿʮ"84 %FFQ-FBSOJOH".*ʯ J04%$Ͱ$PSF.-ͷ࿩Λ͖ͯ͠·ͨ͠ʢ͋Δ͍͸๏཯૬ஊࣄ຿ॴʹߦͬͯ ͖ͨ࿩ʣ 5FOTPS'MPXʹΑΔ΋΋Ϋϩϝϯόʔإೝࣝʢલฤʣ ,FSBT J04$PSF.- 7JTJPO'SBNFXPSLʹΑΔɺ΋΋ΫϩإࣝผΞϓ Ϧͷ։ൃ

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