Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Wantedly Peopleのスキャン画面の裏側 / Wantedly People Sca...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Shinichi Goto
May 31, 2017
Technology
6.7k
6
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Wantedly Peopleのスキャン画面の裏側 / Wantedly People Scanning Screen
2017/05/31 Wantedly技術見学会 iOS編
Shinichi Goto
May 31, 2017
More Decks by Shinichi Goto
See All by Shinichi Goto
WWDC18 ML Overview
_shingt
1
1.5k
Core ML 🏃 iOS Engineer
_shingt
1
680
Core ML / Vision Frameworkを使ってできること / What can we achieve using Core ML and Vision framework
_shingt
3
4.6k
Providing Better Feedback in Real-time Object Detection Apps
_shingt
2
1.7k
Value Types in WWDC16
_shingt
3
2.7k
debug-remote-local-notification-on-watchos
_shingt
0
11k
Server Side Swift question
_shingt
3
1.2k
Other Decks in Technology
See All in Technology
beyond jj: config & tools ecosystem
indirect
0
5.9k
ほんとうの信頼性はヒーローが死んでからはじまる / True reliability begins after the hero dies
vtryo
0
110
Goodbye ShellScript, Hello File-based App
shunsock
0
790
Deployment の 先にある AI Agent 基盤 - kagent vNext、Agent Substrate、Hermes から読み解く Agent Runtime の現在地 / k8s-matsuri-2-ai-agent-platform-amsy810
masayaaoyama
4
710
10Xに技術的負債をもたらした「2つの境界の歪み」その構造と解消への営み
10xinc
0
2.4k
え、こんなに早く改修できるの?──新人エンジニアとスクラムマスターの2人が語る、AI×アジャイル開発の現場
ysasago
2
670
ADKで始める業務改善 - AIエージェント開発時の考えと設計
harappa80
2
270
Slack上でインフラをトラブルシュートする! Agentic Platform Engineeringの第一歩
teru0x1
5
1.9k
[Kiro Meetup #7] Kiro Crew Dive Deep
konippi
0
250
顧客に向き合う開発組織へ。リアーキテクチャとフィーチャーチーム化で挑む組織改革
safie
0
2.4k
【技術的負債conf】事業成長に伴う技術的負債の説明責任とAIによるモニタリング、認知的負債について
i35_267
3
2.1k
現場で役立つ技術負債の効果的な返済方法
masuda220
PRO
11
5.1k
Featured
See All Featured
Writing Fast Ruby
sferik
630
63k
The agentic SEO stack - context over prompts
schlessera
0
940
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2.2k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
203
76k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
550
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
430
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
480
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
280
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
820
How STYLIGHT went responsive
nonsquared
100
6.3k
Transcript
Wantedly Peopleͷ εΩϟϯը໘ͷཪଆ ɹ 2017/05/31 Wantedlyٕज़ݟֶձ iOSฤ shingt (Shinichi Goto)
@ Wantedly, Inc.
shingt (Shinichi Goto) GitHub: @shingt Twi5er: @_shingt
None
None
Outline • εΩϟϯը໘ͷॲཧͷྲྀΕ • ٕज़ཁૉ / ߏ • ෆ҆ఆͳݕग़݁Ռͷରॲ •
σόοά൛ͷ
εΩϟϯը໘ͷॲཧͷྲྀΕ
None
None
None
None
None
None
None
None
None
None
ٕज़ཁૉ / ߏ
• AVFounda*on • OpenCV • ίϯϐϡʔλϏδϣϯ༻ͷϥΠϒϥϦ • ໊ྖҬͷݕग़ɺͦͷଞը૾ॲཧʹར༻ • ಛผͳͷ͍ͬͯͳ͍
໊ݕग़ͷOpenCVҎ֎ͷબࢶ • CoreImage • Accerelate (BNNS) • Metal (CNN) •
TensorFlow
ݕग़ϩδοΫAndroidͱڞ௨Խ͍ͨ͠ ʢগͳ͘ͱॳظϦϦʔεͰʣ
=> Accerelate / Metal / CoreImage ݟૹΓ ʢલऀ2ͭiOS9Ͱར༻Ͱ͖ͳ͍ʣ
TensorFlow • ΞϓϦʹΈࠐΈɺผ్ֶशࡁͷϞσϧΛద༻ɺͱ͍͏ͱ͜Ζ ·Ͱࢼͨ͠ • ໊ݕग़෦ͷ࣮ࡍͷ׆༻ʹࢸΒͣ • ։ൃظؒɺσʔληοτɺਫ਼ͷ
༨ஊ: Google I/O '17 pod 'TensorFlow-experimental' ɹ • Android Meets
TensorFlow: How to Accelerate Your App with AI • "experimental" Ͱͳ͍ํ "Coming soon" ͱͳͬͯΔ • h?ps:/ /cocoapods.org/pods/TensorFlow
ߏ
ɹ • OpenCV • C++Ͱهड़͞ΕͨΠϯλʔϑΣΠεΛར༻ • => Swi/͔Βͷͷݺͼग़͠ෆՄ • ʢඞવతʹʣݕग़ؔ࿈ͷϩδοΫObjec3ve-C++ଆʹدͤΔ
None
// CardDetector.mm - (NSArray<CardFeature *> *)cardFeaturesInMat:(const cv::Mat &)mat { std::vector<dtct::Card>
cards = ... // Detect cards on C++ layer NSMutableArray<CardFeature *> *cardFeatures = [NSMutableArray array]; for (const auto& card : cards) { if (!card.is_namecard) continue; CardFeature *cardFeature = [[CardFeature alloc] initWithDTCTCard:card]; [cardFeatures addObject:cardFeature]; } return cardFeatures; }
CardDetector • C++ͷϨΠϠͷProxyʹ͍ۙҐஔ • ࣮ࡍʹ͋Δఔը૾ॲཧϩδοΫؚΉ • ࠲ඪิਖ਼ɺಁࢹมɺetc. • σόΠεଆͰಈ͔ͯ͠ΈͯॳΊͯݟ͔ͭΔɺͱ͍͏͋ͬ ͨͨΊ
C++ͷϨΠϠ • Γग़ͯ͠։ൃ & ୯ಠͰϏϧυ • ΞϓϦશମΛϏϧυ͢Δͷʹൺͯѹతʹ͍ͨΊ • ݕग़෦ͷϩδοΫΛվળ͍͢͠ʢͬͱجຊతͳ෦ PythonͰ࣮ݧʣ
• దٓiOSϓϩδΣΫτऔΓࠐΈ
ෆ҆ఆͳݕग़݁Ռͷରॲ
໊ྖҬͷݕग़
AVCaptureStillImageOutput ʢ੩ࢭը༻ʣ OR AVCaptureVideoDataOutputʢಈը༻ʣ
໊εΩϟϯʹγϟολʔԻ໐Βͨ͘͠ͳ͍ => AVCaptureVideoDataOutput
: iPhone༳ΕΔ
=> ϒϨΔ
None
ղܾࡦ: γʔέϯεͱͯ͠ѻ͏
None
None
None
None
ݕग़݁Ռͷථ • ϑϨʔϜͷ໌ʢͲΕ͚ͩϒϨ͍ͯͳ͍͔ʣ • ϥϓϥγΞϯϑΟϧλΛ͔͚ͨ݁ՌͷࢄʢͰ͋ΔఔݟΕ Δʣ • ݕग़໊ຕ • ͲΕ͚ͩۙͷϑϨʔϜ͔
ࢀߟ: ໌ͷԋࢉ @implementation UIImage (CVExtension) - (double)sharpness { cv::Mat mat,
gray, laplacian; UIImageToMat(self, mat); cv::cvtColor(mat, gray, CV_BGR2GRAY); cv::Laplacian(gray, laplacian, CV_64F); cv::Scalar mean, stddev; cv::meanStdDev(laplacian, mean, stddev, cv::Mat()); return stddev.val[0] * stddev.val[0]; } @end
None
None
τϥοΩϯά࣌
None
None
None
ɹ • ݁ߏ҆ͳղܾࡦͰ͋Δ • ͱ͍͑ܶతʹମݧ্ !
σόοά൛ͷ
ϦΞϧλΠϜͳը૾ॲཧΞϓϦͷ։ൃͰࠔΔ͜ͱ • ൃੜ࣌ɺݱঢ়Ѳʹ͕͔͔࣌ؒΓ͍͢ • ϓϩηεͷͲͷ෦͕ѱ͍ͷ͔ • ઢݕग़ʁ࠲ඪมʁ໌ͷԋࢉʁ
Debug, QAͰ • ԋࢉঢ়گɺϦιʔεঢ়گΛදࣔ • ໌, γʔέϯεॲཧ, CPU, etc. •
ը૾ॲཧͷաఔΛදࣔ
None
None
None
ɹ • ࢹ֮తʹ͔Γ͍ͨ͢ΊΛݟ͚͍ͭ͢ • ͍͚ͦ͏ײ͕CEOʹΘΔ
·ͱΊ • εΩϟϯը໘ͷॲཧͷྲྀΕ / ٕज़ཁૉ / ߏ Λհ • ෆ҆ఆͳݕग़݁Ռͷରॲ
=> γʔέϯεຖʹॲཧ • "ΊͪΌͪ͘ΌεϚʔτʂ" ͳ͜ͱͯ͠ͳ͍ʢݱঢ়ʣ • Debug/QA൛ͰॲཧաఔɺϦιʔεঢ়گΛग़͓ͯ͘͠ • ΓޙBlogͰެ։ʢ͢Δ͔ʣ
Thanks!