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
Core ML / Vision Frameworkを使ってできること / What can ...
Search
Shinichi Goto
June 30, 2017
Programming
3
4.3k
Core ML / Vision Frameworkを使ってできること / What can we achieve using Core ML and Vision framework
2017/06/30 WWDC - Developer's Living #lifull_wwdc
Shinichi Goto
June 30, 2017
Tweet
Share
More Decks by Shinichi Goto
See All by Shinichi Goto
WWDC18 ML Overview
_shingt
1
1.4k
Core ML 🏃 iOS Engineer
_shingt
1
590
Wantedly Peopleのスキャン画面の裏側 / Wantedly People Scanning Screen
_shingt
6
6.4k
Providing Better Feedback in Real-time Object Detection Apps
_shingt
2
1.5k
Value Types in WWDC16
_shingt
3
2.6k
debug-remote-local-notification-on-watchos
_shingt
0
10k
Server Side Swift question
_shingt
3
1.1k
Other Decks in Programming
See All in Programming
複雑なドメインに挑む.pdf
yukisakai1225
5
1.2k
Performance for Conversion! 分散トレーシングでボトルネックを 特定せよ
inetand
0
2.4k
基礎から学ぶ大画面対応(Learning Large-Screen Support from the Ground Up)
tomoya0x00
0
3.3k
Android端末で実現するオンデバイスLLM 2025
masayukisuda
1
170
The Past, Present, and Future of Enterprise Java
ivargrimstad
0
420
実用的なGOCACHEPROG実装をするために / golang.tokyo #40
mazrean
1
290
🔨 小さなビルドシステムを作る
momeemt
4
690
Swift Updates - Learn Languages 2025
koher
2
510
AIを活用し、今後に備えるための技術知識 / Basic Knowledge to Utilize AI
kishida
22
5.9k
CloudflareのChat Agent Starter Kitで簡単!AIチャットボット構築
syumai
2
510
楽して成果を出すためのセルフリソース管理
clipnote
0
190
MCPでVibe Working。そして、結局はContext Eng(略)/ Working with Vibe on MCP And Context Eng
rkaga
5
2.3k
Featured
See All Featured
For a Future-Friendly Web
brad_frost
180
9.9k
Unsuck your backbone
ammeep
671
58k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.5k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
46
7.6k
Designing for Performance
lara
610
69k
Git: the NoSQL Database
bkeepers
PRO
431
66k
Building Adaptive Systems
keathley
43
2.7k
Facilitating Awesome Meetings
lara
55
6.5k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
23
1.4k
The Language of Interfaces
destraynor
161
25k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
850
GraphQLとの向き合い方2022年版
quramy
49
14k
Transcript
Core ML / Vision Framework ΛͬͯͰ͖Δ͜ͱ ɹ 2017/06/30 WWDC -
Developer's Living @ LIFULL shingt (Shinichi Goto)
shingt (Shinichi Goto) GitHub: @shingt Twi5er: @_shingt 2
Core ML Vision Framework 3
4
Outline • Core MLͷ֓ཁ • Vision Frameworkͷ֓ཁ • Ͱ͖Δ͜ͱ /
ࣄྫհ 5
Core ML 6
ML (Machine Learning) 7
8
9
10
Core ML • ֶशࡁͷModelΛར༻ͯ͠ͷਪʹಛԽ • Core ML model format (**.mlmodel)
• Xcode͕Swi6ͷΠϯλʔϑΣΠεΛࣗಈੜ • αϯϓϧϞσϧApple͕ެ։ • Accerelate / Metal্ʹࡌ͓ͬͯΓϋΠύϑΥʔϚϯε • coremltools 11
ɹ let animalModel = AnimalModel() if let prediction = try?
animalModel.prediction(animalImage: image) { return prediction.animalType } 12
ɹ let animalModel = AnimalModel() if let prediction = try?
animalModel.prediction(animalImage: image) { return prediction.animalType } 13
ɹ let animalModel = AnimalModel() if let prediction = try?
animalModel.prediction(animalImage: image) { return prediction.animalType } 14
ɹ let animalModel = AnimalModel() if let prediction = try?
animalModel.prediction(animalImage: image) { return prediction.animalType } 15
coremltools • "iOS্Ͱѻ͏ͨΊͷModelΛͲ͏༻ҙ͢Δ͔" ͷղܾࡦ • ओཁͳػցֶशπʔϧͷֶशࡁModelΛCore ML༻ͷModelม • Keras,
Caffe, scikit-learn, etc. 16
17
6/28ʹKeras 2.0αϙʔτʢൃද࣌1.2.2ͷΈͩͬͨʣ h"ps:/ /forums.developer.apple.com/thread/81196 18
Vision Framework 19
Vision Framework • Core ML্ʹࡌͬͨը૾ೝࣝɾମݕग़ͳͲͷը૾ղੳ༻ͷϑϨʔϜϫʔΫ • Detec,on • Face, Face
landmarks, Rectangle, Barcode, Text, Horizon • طଘͷͷਫ਼্ʢDeep Learningͷ׆༻ʣ • Tracking • Image Registra,on • Core MLͱͷΈ߹Θͤ 20
21
Tracking • ը૾ʢಈըʣதͷମͷ • إͷTrackingCIDetectorͰՄೳͩͬͨ • ҙͷରʹରͯ͠ͷTracking͕Մೳʹ • VisionͰͷݕग़݁Ռ •
ҙͷྖҬࢦఆ 22
23
Demo (Rectangle Detec,on + Tracking) h"ps:/ /github.com/shingt/VisionTrackerSample 24
զʑCV/MLͷΤΩεύʔτͰ͋Δඞཁͳ͍ ʢͱɺAppleηογϣϯதʹݴ͍ͬͯΔʣ 25
Կ͕Ͱ͖Δͷ͔ʁ ʢΞϓϦέʔγϣϯΤϯδχΞͱͯ͠ͷࢹ͔Βʣ 26
27
28
ࣄྫհ 29
ମݕग़ 30
31
YOLO • YOLO (You only look once) • ߴͳ͜ͱ͕ಛͷମݕग़༻ͷ χϡʔϥϧωοτϫʔΫ
• h1ps:/ /www.youtube.com/watch? v=VOC3huqHrss • ͜ΕҰൠతͳYOLO 32
• iOSࣄྫ • YOLO: Core ML versus MPSNNGraph • Core
MLΛ༻͍ͯiOS্ͰYOLOΛಈ࡞ • Tiny YOLOʢެ։͞Ε͍ͯΔModelʣΛར༻ 33
34
ը૾ੜ 35
Goodfellow, Ian J.; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley,
David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua. GeneraIve Adversarial Networks. arXiv:1406.2661, 2014. 36
Alec Radford, Luke Metz, and Soumith Chintala. Unsupervised representa>on learning
with deep convolu>onal genera>ve adversarial networks. arXiv preprint arXiv:1511.06434, 2015. 37
• GAN (Genera+ve Adversarial Nets) • ֶशσʔλͱࣅͨσʔλΛੜ͢ΔϞσϧͷҰछ • iOSࣄྫ •
Crea+ve AI on the iPhone: Genera+ve Adversarial Networks (GAN) with Apple's CoreML Tools • MNISTΛσʔληοτͱͯ͠ɺCore MLΛ༻͍ͯiOS্Ͱࣈ ʢʹࣅͨʣը૾Λੜ 38
39
Summary • Core ML / Vision Framework • iOS্Ͱͷը૾ղੳٕज़ͷར༻ϋʔυϧ͕Լ •
ͱ͍͑ࣝ͋Δఔඞཁʢͱײͨ͡ʣ • Ͱ͖Δ͜ͱ • ը૾ೝࣝ / τϥοΩϯά / ମݕग़ / ը૾ੜ / etc. • Follow @mhollemans 40
ࢀߟηογϣϯ • Introducing Core ML • Core ML in depth
• Vision Framework: Building on Core ML 41
ࢀߟࢿྉ • iOS 11: Machine Learning for everyone • Google’s
MobileNets on the iPhone • YOLO: Core ML versus MPSNNGraph • CreaAve AI on the iPhone: GeneraAve Adversarial Networks (GAN) with Apple's CoreML Tools - Zedge • Why Core ML will not work for your app (most likely) • θϩ͔Β࡞ΔDeep Learning 42
Thanks! 43
ʢิʣͰ͖ͳ͍͜ͱ / ੍ͳͲ • ֶशෆՄ • αϙʔτ͍ͯ͠ΔػցֶशϑϨʔϜϫʔΫʹ͍ͭͯɺಛఆͷόʔδϣϯʹറΒΕΔʢগͳ͘ͱ ݱঢ়ʣ • Kerasͷ2.0αϙʔτೖͬͨ͠ɺࠓޙ͍͛ͯ͘ͷ͔
• ModelͷαΠζ͕େ͖͗͢Δ • RegressionͱClassifica5onͷΈʢ☓ ΫϥελϦϯάɺϥϯΩϯάֶशɺetc.ʣ • ϥϯλΠϜͰϢʔβͷೖྗɾߦಈΛModelʹөͤ͞Δ͜ͱͰ͖ͳ͍ • etc. 44