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
物体検出の動向とPythonで動かすまで
Search
Swall0w
September 12, 2018
Technology
0
790
物体検出の動向とPythonで動かすまで
みんなのPython勉強会#38のショートトーク内容です.
https://startpython.connpass.com/event/92358/
Swall0w
September 12, 2018
Tweet
Share
More Decks by Swall0w
See All by Swall0w
Micro Service Architecture with Machine Learning Application
swall0w
0
880
再現実装のコツと闇
swall0w
0
1.4k
Other Decks in Technology
See All in Technology
AWS Amplify Conference 2026 - 仕様からリリースまで一気通貫生成 AI 時代のフルスタック開発
inariku
1
110
I tried making a solo advent calendar!
zzzzico
0
150
製造業から学んだ「本質を守り現場に合わせるアジャイル実践」
kamitokusari
0
740
Security Hub と出会ってから 1年半が過ぎました
rch850
0
140
Git Training GitHub
yuhattor
1
100
AWSと生成AIで学ぶ!実行計画の読み解き方とSQLチューニングの実践
yakumo
2
580
Databricks Free Editionで始めるLakeflow SDP
taka_aki
0
120
「アウトプット脳からユーザー価値脳へ」がそんなに簡単にできたら苦労しない #RSGT2026
aki_iinuma
11
5.5k
自己管理型チームと個人のセルフマネジメント 〜モチベーション編〜
kakehashi
PRO
5
3.1k
1万人を変え日本を変える!!多層構造型ふりかえりの大規模組織変革 / 20260108 Kazuki Mori
shift_evolve
PRO
6
1.5k
Models vs Bounded Contexts for Domain Modularizati...
ewolff
0
200
Qiita Bash アドカレ LT #1
okaru
0
190
Featured
See All Featured
How to Think Like a Performance Engineer
csswizardry
28
2.4k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
1
36
BBQ
matthewcrist
89
10k
Leo the Paperboy
mayatellez
3
1.3k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
340
The Power of CSS Pseudo Elements
geoffreycrofte
80
6.1k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
0
140
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
1.7k
Done Done
chrislema
186
16k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
133
19k
What's in a price? How to price your products and services
michaelherold
246
13k
Transcript
ମݕग़ͷಈͱ PythonͰಈ͔͢·Ͱ !1 20189݄12 ΈΜͳͷPythonษڧձ#38 Masato Fujitake(@Swall0wTech)
ମݕग़ͬͯɽɽɽʁ !2 YOLOv3:https://bit.ly/2fXFbXS
ࣗݾհ !3 ໊લɿɹͭΊ ɹ(Masato FUJITAKE) Twitter : @Swall0wTech ઐ߈ɿϩϘοτͷ੍ޚͱ͔ͱ͔ ݴޠɿcݴޠɺC++,ΞηϯϒϦ…
Pythonɿը૾ॲཧɺػցֶश ମݕग़ɿϩϘοτͰͷݕग़ɼOCR
༰ʹ͍ͭͯ !4 ࠓ͢͜ͱ ը૾ΛͲ͏ଊ͑Δ͔ ମݕग़Ͳ͏࣮ݱ͍ͯ͠Δ͔ ࠓͲΜͳࣄ͕ग़དྷͯΔͷʁ ମݕग़ಈ͔͢ʹʁ ػցֶशͱ ࡉ͔͍ΞϧΰϦζϜ ࠓ͞ͳ͍͜ͱ
ը૾ΛͲ͏ଊ͑Δͷ͔ !5 https://bit.ly/2CRjqUG
ը૾ΛͲ͏ଊ͑Δͷ͔ !6 ը૾ೝࣝ ମݕग़ ηϚϯςΟοΫ ηάϝϯςʔγϣϯ ηϚϯςΟοΫ Πϯελϯε ηάϝϯςʔγϣϯ
·ͣը૾ೝࣝ !7 ͍͍ಛྔ͕ಘΒΕΕɼࣝผ͘͢͠ͳΔʂ Α͘ݟΔ͔͠Εͳ͍ը૾ೝࣝϞσϧ ಛྔநग़ث ࣝผث ը૾ೝࣝ ≒ ͍͍ಛநग़ثͷ૪͍ VGG,
ResNet, Inception, MobileNet…
ը૾ೝ͔ࣝΒମݕग़ !8 RNN RNN ಛྔநग़ث ࣝผث ೝࣝ݁Ռ
RNN ಛྔநग़ث ࣝผث ࠲ඪҐஔ ਪఆ ը૾ೝࣝ ମݕग़ ޙॲཧ
ମݕग़ͷ࣮ݱํ๏ !9 ̎ஈ֊ࣜ ̍ஈ֊ࣜ ࣝผث ࠲ඪҐஔ ਪఆ ͦΕͧΕͷྖҬʹ දɿFaster R-CNN
දɿYOLO, SSD ࣝผث ࠲ඪҐஔਪఆ ʢಉ࣌ʹ ʣ https://bit.ly/2x1L4ZG https://bit.ly/2O8KPT8
ମݕग़ͷ࣮ݱͱͦͷઌ !10 ख๏ͱ࣮ͯ͠ݱͷํੑݟ͑ͨɽɽɽ ͦͷઌͱͯ͠ɼ ݁Ռͱͯ͠ɼ •ߴਫ਼Խ&ߴԽ •֦ுʢ̏࣍ݩߏਪఆʣ •ಈըͷల։ʢϒϨϑΥʔΧεͣΕͷಆ͍ʣ •ଞ༥߹ʢମݕग़͔Βͷ֦ுʣ
ଞ༥߹ʢݚڀʣ !11 DeepPose ը૾͔Βͷ̏Dମද໘Ϟσϧݕग़ ਓݕग़ʴηάϝϯςʔγϣϯʴϘʔϯਪఆʴද໘ਪఆ
ଞ༥߹ʢԠ༻ʣ !12 Soccer On your Tabletop ARͰαοΧʔؑ ਓݕग़ʴΩϟϦϒϨʔγϣϯʴϘʔϯਪఆʴτϥοΩϯά
ମݕग़ಈ͔͢ʹ !13 ެࣜͷίʔυ͕ެ։͞Ε͍ͯΕɼڥߏங ؤுͬͯ༡Ϳ(Detectron, Darknet, Caffe) ̍ ༻ͯ͠ΔϑϨʔϜϫʔΫͷ࣮Λࢼ͢ ̎ ࠶ݱ࣮Λࢦ͍ͯ͠ΔͷΛࢼ͢(ChainerCV)
̏
·ͱΊ !14 ը૾ͷೝࣝͷछྨ ମݕग़ͷ࣮ݱํ๏ ͲΜͳࣄ͕ग़དྷͯΔͷ͔ʢDensePose…ʣ ମݕग़ಈ͔͢ʹ ମݕग़ͬͱΓ͍ͨͱ͍͏ํ →Deep Learning for
Generic Object Detection: A Survey https://arxiv.org/abs/1809.02165