Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
20170829_iOSLT_機械学習とVision.framework
Search
shtnkgm
September 20, 2017
Programming
0
85
20170829_iOSLT_機械学習とVision.framework
機械学習の基礎的な内容を交えつつ、iOS11で追加されたVision.frameworkの説明とデモ
shtnkgm
September 20, 2017
Tweet
Share
More Decks by shtnkgm
See All by shtnkgm
Combine入門
shtnkgm
2
270
Property Wrappers
shtnkgm
0
320
Saliency Detection
shtnkgm
0
31
パフォーマンス改善とユニットテスト
shtnkgm
4
1.6k
iOSのコードベースレイアウト
shtnkgm
2
750
20190117_iOSLT_CBLinSwift.pdf
shtnkgm
0
75
SwiftとFunctional Reactive Programming
shtnkgm
0
160
20180710_iOSLT_iOSでDarkModeを実装する
shtnkgm
0
78
20180410_iOSLT_SwiftとProtocol-OrientedProgramming
shtnkgm
0
97
Other Decks in Programming
See All in Programming
Beyond_the_Prompt__Evaluating__Testing__and_Securing_LLM_Applications.pdf
meteatamel
0
110
Golangci-lint v2爆誕: 君たちはどうすべきか
logica0419
1
230
Vibe Coding の話をしよう
schroneko
14
3.7k
実践Webフロントパフォーマンスチューニング
cp20
45
10k
Deoptimization: How YJIT Speeds Up Ruby by Slowing Down / RubyKaigi 2025
k0kubun
2
1.9k
Rubyの!メソッドをちゃんと理解する
alstrocrack
1
120
カウシェで Four Keys の改善を試みた理由
ike002jp
1
120
GitHub Copilot for Azureを使い倒したい
ymd65536
1
320
Boost Your Performance and Developer Productivity with Jakarta EE 11
ivargrimstad
0
790
MySQL初心者が311個のカラムにNot NULL制約を追加していってALTER TABLEについて学んだ話
hatsu38
2
100
Designing Your Organization's Test Pyramid ( #scrumniigata )
teyamagu
PRO
4
490
大LLM時代にこの先生きのこるには-ITエンジニア編
fumiyakume
8
3.3k
Featured
See All Featured
Java REST API Framework Comparison - PWX 2021
mraible
31
8.6k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
32
5.5k
Fireside Chat
paigeccino
37
3.4k
Building Applications with DynamoDB
mza
94
6.4k
Bash Introduction
62gerente
612
210k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
2.9k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.6k
Building Flexible Design Systems
yeseniaperezcruz
329
39k
Making Projects Easy
brettharned
116
6.2k
Optimising Largest Contentful Paint
csswizardry
37
3.2k
GraphQLとの向き合い方2022年版
quramy
46
14k
Reflections from 52 weeks, 52 projects
jeffersonlam
349
20k
Transcript
ػցֶशͱVision.framework Shota Nakagami / @shtnkgm 2017/8/29
͢༰ — Vision.frameworkͷجຊతͳઆ໌ — ػցֶशͷ֓ཁ — VisionΛ༻͍ͨΧϝϥը૾Λผ͢ΔαϯϓϧΞϓϦ
Vision.frameworkͱ — iOS11͔ΒՃ͞Εͨը૾ೝࣝAPIΛఏڙ͢ΔϑϨʔϜϫʔ Ϋ — ಉ͘͡iOS11͔ΒՃ͞ΕͨػցֶशϑϨʔϜϫʔΫͷCore MLΛநԽ
ػցֶशελοΫ
χϡʔϥϧωοτϫʔΫͱ — ػցֶशख๏ͷҰछ — ਓؒͷͷਆܦճ࿏Λ ࣜϞσϧͰදͨ͠ͷ — NNͱུ͞ΕΔ ʢDNN1ɺRNN2ɺCNN3ͳͲʣ 3
Convolutional Neural NetworkʢΈࠐΈχϡʔϥϧωο τϫʔΫʣ 2 Recurrent Neural Networkʢ࠶ؼܕχϡʔϥϧωοτϫ ʔΫʣ 1 Deep Neural NetworkʢσΟʔϓχϡʔϥϧωοτϫʔ Ϋʣ
VisionͰೝࣝͰ͖Δͷ
VisionͰೝࣝͰ͖Δͷᶃ — إݕग़ / Face Detection and Recognition — όʔίʔυݕग़
/ Barcode Detection — ը૾ͷҐஔ߹Θͤ / Image Alignment Analysis — ςΩετݕग़ / Text Detection — ਫฏઢݕग़ / Horizon Detection
VisionͰೝࣝͰ͖Δͷᶄ ػցֶशϞσϧͷ༻ҙ͕ඞཁͳͷ — ΦϒδΣΫτݕग़ͱτϥοΩϯά / Object Detection and Tracking —
ػցֶशʹΑΔը૾ੳ / Machine Learning Image Analysis
Χϝϥը૾Λผ͢ΔαϯϓϧΞ ϓϦΛͭ͘Δ
αϯϓϧΞϓϦ֓ཁ — VisionͷʮػցֶशʹΑΔը૾ੳʯػೳΛར༻ — ΧϝϥͰөͨ͠ը૾Λผ͠ɺϞϊͷ໊લΛग़ྗ
ػցֶशʹΑΔը૾ೝࣝͷྲྀΕ 1. ֶशͷͨΊը૾σʔλΛऩूʢڭࡐΛूΊΔʣ 2. ֶश༻σʔλ͔ΒɺػցֶशΞϧΰϦζϜʹΑΓϞσϧΛ࡞ ※Ϟσϧɾɾɾ͑Λग़ͯ͘͠ΕΔϩδοΫ ྨɿ͜ͷը૾ݘʁೣʁ ճؼɿ༧ଌʢ໌ͷגՁʁʣ 3.
ֶशࡁΈϞσϧΛ༻͍ͯະͷը૾Λผʢ࣮ફʣ
Ϟσϧ࡞ׂѪ — ֶशσʔλͷऩूɾܗׂΓͱେม — ͦΕͳΓͷϚγϯεϖοΫɺܭࢉ͕࣌ؒඞཁ — ػցֶशʹؔ͢Δ͕ࣝඞཁ
Ϟσϧͷ༻ҙ ؆୯ͷͨΊɺֶशࡁΈϞσϧΛར༻ AppleͷαΠτͰ͞Ε͍ͯΔʢ.mlmodelܗࣜʣ https://developer.apple.com/machine-learning/
ϞσϧҰཡ ϞσϧʹΑͬͯಘҙͳը૾ͷछྨ༰ྔ͕ҟͳΔ ʢ5MBʙ553.5MBʣ — MobileNets — SqueezeNet — Places205-GoogLeNet —
ResNet50 — Inception v3 — VGG16
ࠓճResNet50Λར༻ — थɺಈɺ৯ɺΓɺਓͳͲͷ1000छྨͷΧςΰϦ — αΠζ102.6 MB — MITϥΠηϯε
ϞσϧΛϓϩδΣΫτʹࠐΉ
Xcodeʹυϥοά&υϩοϓ
ϞσϧΫϥε͕ࣗಈੜ͞ΕΔ ࣗಈͰϞσϧ໊.swiftͱ͍͏໊લͰϞσϧΫϥε͕࡞͞ΕΔ ྫ) Resnet50.swiftʢҰ෦ൈਮʣ
Χϝϥը૾ͷΩϟϓνϟॲཧ
private func startCapture() { let captureSession = AVCaptureSession() captureSession.sessionPreset =
AVCaptureSessionPresetPhoto // ೖྗͷࢦఆ let captureDevice = AVCaptureDevice.defaultDevice(withMediaType: AVMediaTypeVideo) guard let input = try? AVCaptureDeviceInput(device: captureDevice) else { return } guard captureSession.canAddInput(input) else { return } captureSession.addInput(input) // ग़ྗͷࢦఆ let output: AVCaptureVideoDataOutput = AVCaptureVideoDataOutput() output.setSampleBufferDelegate(self, queue: DispatchQueue(label: "VideoQueue")) guard captureSession.canAddOutput(output) else { return } captureSession.addOutput(output) // ϓϨϏϡʔͷࢦఆ guard let previewLayer = AVCaptureVideoPreviewLayer(session: captureSession) else { return } previewLayer.videoGravity = AVLayerVideoGravityResizeAspectFill previewLayer.frame = view.bounds view.layer.insertSublayer(previewLayer, at: 0) // Ωϟϓνϟ։࢝ captureSession.startRunning() }
ࡱӨϑϨʔϜຖʹݺΕΔDeleate extension ViewController: AVCaptureVideoDataOutputSampleBufferDelegate { func captureOutput(_ output: AVCaptureOutput!, didOutputSampleBuffer
sampleBuffer: CMSampleBuffer!, from connection: AVCaptureConnection!) { // CMSampleBufferΛCVPixelBufferʹม guard let pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return } // ͜ͷதʹVision.frameworkͷॲཧΛॻ͍͍ͯ͘ʢը૾ೝࣝ෦ʣ } }
ը૾ೝࣝ෦ͷॲཧ
VisionͰར༻͢ΔओͳΫϥε — VNCoreMLModel — VNCoreMLRequest — VNImageRequestHandler — VNObservation
VNCoreMLModel — CoreMLͷϞσϧΛVisionͰѻ͏ͨΊͷίϯςφΫϥε
VNCoreMLRequest — CoreMLʹը૾ೝࣝΛཁٻ͢ΔͨΊͷΫϥε — ೝࣝ݁ՌϞσϧͷग़ྗܗࣜʹΑΓܾ·Δ — ը૾→Ϋϥεʢྨ݁Ռʣ — ը૾→ಛྔ —
ը૾→ը૾
VNImageRequestHandler — Ұͭͷը૾ʹର͠ɺҰͭҎ্ͷը૾ೝࣝॲཧ ʢVNCoreMLRequestʣΛ࣮ߦ͢ΔͨΊͷΫϥε — ॳظԽ࣌ʹೝࣝରͷը૾ܗࣜΛࢦఆ͢Δ — CVPixelBuffer — CIImage
— CGImage
VNObservation — ը૾ೝࣝ݁ՌͷநΫϥε — ݁Ռͱͯ͜͠ͷΫϥεͷαϒΫϥεͷ͍ͣΕ͔͕ฦ͞ΕΔ — ೝࣝͷ֬৴Λද͢confidenceϓϩύςΟΛ࣋ͭ ʢVNConfidence=FloatͷΤΠϦΞεʣ
VNObservationαϒΫϥε — VNClassificationObservation ྨ໊ͱͯ͠identifierϓϩύςΟΛ࣋ͭ — VNCoreMLFeatureValueObservation ಛྔσʔλͱͯ͠featureValueϓϩύςΟΛ࣋ͭ — VNPixelBufferObservation ը૾σʔλͱͯ͠pixelBufferϓϩύςΟΛ࣋ͭ
·ͱΊΔͱ… — VNCoreMLModelʢΈࠐΜͩϞσϧʣ — VNCoreMLRequestʢը૾ೝࣝͷϦΫΤετʣ — VNImageRequestHandlerʢϦΫΤετͷ࣮ߦʣ — VNObservationʢೝࣝ݁Ռʣ
۩ମతͳ࣮ίʔυ
ϞσϧΫϥεͷॳظԽ // CoreMLͷϞσϧΫϥεͷॳظԽ guard let model = try? VNCoreMLModel(for: Resnet50().model)
else { return }
ը૾ೝࣝϦΫΤετΛ࡞ // ը૾ೝࣝϦΫΤετΛ࡞ʢҾϞσϧͱϋϯυϥʣ let request = VNCoreMLRequest(model: model) { [weak
self] (request: VNRequest, error: Error?) in guard let results = request.results as? [VNClassificationObservation] else { return } // ผ݁Ռͱͦͷ֬৴Λ্Ґ3݅·Ͱදࣔ // identifierΧϯϚ۠ΓͰෳॻ͔Ε͍ͯΔ͜ͱ͕͋ΔͷͰɺ࠷ॳͷ୯ޠͷΈऔಘ͢Δ let displayText = results.prefix(3) .flatMap { "\(Int($0.confidence * 100))% \($0.identifier.components(separatedBy: ", ")[0])" } .joined(separator: "\n") DispatchQueue.main.async { self?.textView.text = displayText } }
ը૾ೝࣝϦΫΤετΛ࣮ߦ // CVPixelBufferʹର͠ɺը૾ೝࣝϦΫΤετΛ࣮ߦ try? VNImageRequestHandler(cvPixelBuffer: pixelBuffer, options: [:]).perform([request])
ը૾ೝࣝ෦ͷܗ guard let pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
guard let model = try? VNCoreMLModel(for: Resnet50().model) else { return } let request = VNCoreMLRequest(model: model) { [weak self] (request: VNRequest, error: Error?) in guard let results = request.results as? [VNClassificationObservation] else { return } let displayText = results.prefix(3) .flatMap { "\(Int($0.confidence * 100))% \($0.identifier.components(separatedBy: ", ")[0])" } .joined(separator: "\n") DispatchQueue.main.async { self?.textView.text = displayText } } try? VNImageRequestHandler(cvPixelBuffer: pixelBuffer, options: [:]).perform([request])
σϞಈը
None
tabbyͬͯԿʁ
tabby = τϥωίʂ τϥωίͱɺτϥͷΑ͏ͳࣶ༷Λ࣋ͭωίͷ͜ͱͰ͋ΔɻλϏʔͱݺΕΔɻτϥೣ ετϥΠϓͷଞʹɺ్ࣶ༷͕Εͯɺൗ༷ɺᤳᤶ൝ɺࡉ͔ࣶ༷͘Λ్Εͤͯͨ͞ ͷ͕͋Γɺଟ༷Ͱ͋ΔɻʢҾ༻: ΟΩϖσΟΞʣ
·ͱΊ
— ֶशࡁΈϞσϧ͕͋Εɺ࣮ࣗମ؆୯! — ωίͷछྨڭ͑ͯ͘ΕΔ" — ͋ͱϞσϧࣗͰ࡞ΕΔΑ͏ʹͳΕͬͱ෯͕͕ Δ
ॳΓ͔ͨͬͨ͜ͱ — ΠϯελάϥϜ༻ͷࣗಈϋογϡλά͚ΞϓϦ — ϋογϡλάΛ͢ΩϟϓγϣϯAPIطʹഇࢭʘ(^o^)ʗ
αϯϓϧίʔυ ࠓճ͝հͨ͠αϯϓϧίʔυͪ͜Βʹஔ͍ͯ͋Γ·͢ɻ https://github.com/shtnkgm/VisionFrameworkSample ※εΫϦʔϯγϣοτͷެ։ʹNDAҙ
͓ΘΓ
ࢀߟࢿྉᶃ — Build more intelligent apps with machine learning. /
Apple — Vision / Apple Developer Documentation — ʲWWDC2017ʳVision.framework ͷςΩετݕग़Λࢼ͠ ͯΈ·ͨ͠ʲiOS11ʳ — Keras + iOS11 CoreML + Vision Framework ʹΑΔɺ ΫϩإࣝผΞϓϦͷ։ൃ — [Core ML] .mlmodel ϑΝΠϧΛ࡞͢Δ / ϑΣϯϦϧ
ࢀߟࢿྉᶄ — [iOS 11] CoreMLͰը૾ͷࣝผΛࢼͯ͠Έ·ͨ͠ ʢVision.FrameworkΛΘͳ͍ύλʔϯʣ #WWDC2017 — Places205-GoogLeNetͰॴͷఆ /
fabo.io — iOSDCͷϦδΣΫτίϯͰʰiOSͱσΟʔϓϥʔχϯάʱʹ ͍ͭͯ͠·ͨ͠Add Star — [iOS 10][χϡʔϥϧωοτϫʔΫ] OSSͰAccelerateʹՃ ͞ΕͨBNNSΛཧղ͢Δ ~XORฤ~