PythonのカンファレンスであるPyConJp2016で発表した資料です。 リポジトリ：https://github.com/esuji5/yonkoma2data

1. Python
4
PyConJp 2016
09.22 @esuji
repo. https://github.com/esuji5/yonkoma2data

2. 4
4
Python
✌ ('ω' ✌ ) ✌ ('ω') ✌ ( ✌ 'ω') ✌
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3. 4
Python 4
( )
( )
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4. S @esuji
WEB
subcatalog ( )
WEB
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5. 4
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6. 4
G
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7. 4
1. 5M vol.4 (2010 )
4
2.
3. 4
4. (300 )
5.
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8. 2008
2016 9 8
3 kindle unlimited
2013 4 6 24:30
(14 )
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9. 4
2012
6
ZIN
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10. 10

11. ( 4 )
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12. 12

13. 8
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14. Python
WEB
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15. Python
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16. Python
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17. C++
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18. Python
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19. 4 Python
)
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20. Python 4
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21. 4
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22. ( )
PDF PNG
PNG 1
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23. Python3
OpenCV 3.0.0
ImageMagick
Google Cloud Vision API
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24. PDF PNG
ImageMagick (
import subprocess
png_path = os.path.join(output_path, 'image-%03d.png')
argv = ['convert',
'-deskew', '40%', #
'-density', str(DENSITY), # 72dpi
#
'-geometry', '{0}x{0}'.format(MAX_HEIGHT),
pdf_path, png_path]
#
if subprocess.call(argv) != 0:
print('failed: {}'.format(pdf_path))
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25. PNG 1
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26. (@non_117)
( )
:
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27. 27

28. 28

29. 29

30. NumPy
width, height = 832, 1242
(322ms )
column_avg_list = []
for xi in range(width):
sum = 0
for yi in range(height):
sum += img[yi, xi]
column_avg_list.append(sum / height)
(1.02ms )
import numpy as np
#
column_avg_list = np.average(img, axis=0) 30

31. Google Cloud Vision API
API
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33. -1
…
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38. -5
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40. CNN(Convolutional Neural Network)
( )
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41. 1 8
3 kindle unlimited
BD-BOX
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