Deep Learning for Image Recognition in Python

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"Deep Learning for Image Recognition in Python" at PyCon JP 2014 https://pycon.jp/2014/schedule/presentation/20/ Youtube http://youtu.be/JWGXQhVHTTA Keywords Machine Learning, Object Recognition, Face Recognition, Artificial Intelligence (AI) ディープラーニング, 深層学習, 機械学習, 画像認識, 物体認識, 顔認識, 人工知能

Technology

Deep Learning for Image Recognition in Python
x
Hideki Tanaka PyCon JP 2014

Agenda
1. Image Recognition䛳䛶ఱ?
2. Deep Learning䛳䛶ఱ?
3. Pepperྩ䛻䛧䛶ḧ䛧䛔䛣䛸

୍⯡ⓗ䛺≉ᚩ㔞
SURF
Haar-like features
Python䝷䜲䝤䝷䝸
OpenCV
Mahotas

Training set
Test set
: 25,000 images
: 12,500 images

Core
Language Binding
Theano/Pylearn2
cuda-convnet
OverFeat
Caffe
DeCAF
Python
C++
Lua
C++
Python
-
Python
Python
Python
-
Pre-trained
Networks
Framework
×
×
䕿
䕿
䕿

Pre-trained Networks
ImageNet Large Scale Visual Recognition Challenge
䛾䛯䜑䛻Deep Learning䛾◊✲⪅䛜సᡂ䛧䛯䝛䝑䝖䝽䞊䜽
䠄Deep Convolutional Neural Networks䠅

Pre-trained Networks䜢⏝䛔䛶≉ᚩ㔞䜢ᢳฟ
(DeCAF)
ᶵᲔᏛ⩦
(scikit-learn)

Deep Learning䛷ฟ᮶䜛䛣䛸
㧗⢭ᗘ䛾⏬ീㄆ㆑
Pepperྩ䛿ぢ䛯䜒䛾䜢䜋䜌㛫㐪䛔䛺䛟ㄆ㆑

1. 䜰䜲䝗䝹䛾㢦⏬ീ䜢㞟䜑䜛
2. 䜰䜲䝗䝹௨እ䛾㢦⏬ീ䜢㞟䜑䜛
3. Deep Learning䛷ㄆ㆑ჾ䜢స䜛
4. Pepperྩ䛻ᶵ⬟䜢ᦚ㍕䛩䜛
5. Pepperྩ䛜䝯䞁䝞䞊䜢䝇䜹䜴䝖䛩䜛

㛤Ⓨ⎔ቃ
Ubuntu 12.04
pyenv + miniconda–3.4.2 (Python 2.7.8)
Flask, OpenCV, DeCAF

➲ᑿ࿴ᏹ䚷ᒣᮏග✑䚷ዉⰋ㒊㝯⾜䚷㧗ᶫඞᚨ䚷᳃⏣┤ᶞ
⏣୰⚽ᶞ䚷ఀ⸨♸┿䚷ᅧྜྷ㞞ே䚷ⱑᮌ㱟䚷ὸ㔝᠇┬
఍⏣ᐥḟ㑻䚷఍⏣⿱Ꮚ䚷ᰩཎ୍㈗

The esperanto generator
torajiro aida
11:30- Media Hall

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Deep Learning for Image Recognition in Python

1. Deep Learning for Image Recognition in Python x Hideki Tanaka PyCon JP 2014

2. PyCon䛳䛶ఱ?

4. PyCon䛿ྜ䝁䞁䛷䛿䛒䜚䜎䛫䜣 #pyconjp

5. @atelierhide

6. @atelierhide = ?

7. @atelierhide = Lens Designer

9. @atelierhide = Photographer

10.

11. @atelierhide = Pythonista

12.

13. @atelierhide = Kaggler

14.

15. ᮏ᪥䛾䛚㢟䛿…

16. Image Recognition x Deep Learning

17. ⏬ീㄆ㆑ x ῝ᒙᏛ⩦

18. ேཱྀ▱⬟(AI)䛾䛚ヰ䛷䛩

19. ேཱྀ▱⬟(AI)䛸ゝ䛘䜀…

20. Pepperྩ

21. 䛣䛾䝉䝑䝅䝵䞁䛷ⓙ䛥䜣䛸⪃䛘䛯䛔 1 䛯䛳䛯䜂䛸䛴䛾䛣䛸

22. Pepperྩ䛻ఱ䜢䛧䛶ḧ䛧䛔䛛?

23. Agenda 1. Image Recognition䛳䛶ఱ? 2. Deep Learning䛳䛶ఱ? 3. Pepperྩ䛻䛧䛶ḧ䛧䛔䛣䛸

24. Image Recognition䛳䛶ఱ?

25. Dog or Cat?

26.

27.

28. 䛹䛖䜔䛳䛶ㄆ㆑䛩䜛?

29. ⏬ീ䛛䜙≉ᚩ㔞䜢ᢳฟ ᶵᲔᏛ⩦ (scikit-learn)

30. ୍⯡ⓗ䛺≉ᚩ㔞 SURF Haar-like features Python䝷䜲䝤䝷䝸 OpenCV Mahotas

31. Training set Test set : 25,000 images : 12,500 images

32.

33. Accuracy 60% with Haar-like features

34. 䛧䛛䛧䚸䝇䝁䜰䝪䞊䝗䛷䛿…

35. Accuracy >95% with Deep Learning

36. 98.5%!?

37. Deep Learning䛩䛢䛗䟿

38. Deep Learning䛳䛶ఱ?

39.

40. ከᒙ䝙䝳䞊䝷䝹䝛䝑䝖䝽䞊䜽 input output hidden × n

41. Core Language Binding Theano/Pylearn2 cuda-convnet OverFeat Caffe DeCAF Python C++ Lua C++ Python - Python Python Python - Pre-trained Networks Framework × × 䕿䕿䕿

42. Pre-trained Networks ImageNet Large Scale Visual Recognition Challenge 䛾䛯䜑䛻Deep Learning䛾◊✲⪅䛜సᡂ䛧䛯䝛䝑䝖䝽䞊䜽䠄Deep Convolutional Neural Networks䠅

43. Pre-trained Networks䜢⏝䛔䛶≉ᚩ㔞䜢ᢳฟ (DeCAF) ᶵᲔᏛ⩦ (scikit-learn)

44. Accuracy 96% with Deep Learning

45.

46. 䛣䛣䜎䛷䛾ヰ䜢䜎䛸䜑䜛䛸…

47. Deep Learning䛷ฟ᮶䜛䛣䛸㧗⢭ᗘ䛾⏬ീㄆ㆑ Pepperྩ䛿ぢ䛯䜒䛾䜢䜋䜌㛫㐪䛔䛺䛟ㄆ㆑

48. 䛷䚸Pepperྩ䛻ఱ䜢䛧䛶ḧ䛧䛔䛛?

49. Pepperྩ䛜䜽䝸䜶䜲䝔䜱䝤䛺௙஦䜢䛩䜛 ♫఍ⓗ䛺䜲䞁䝟䜽䝖

50. Pepperྩ䝥䝻䝕䝳䞊䝇䛾䜰䜲䝗䝹䜾䝹䞊䝥

51. ୡ⏺ึ! ேཱྀ▱⬟䛻䜘䜛䜰䜲䝗䝹䜾䝹䞊䝥!

52. 䛭䛾ྡ䜒…

53. JKC48