開発環境
- OS X El Capitan - Apple (OS)
- Emacs (Text Editor)
- Python 3.5 (プログラミング言語)
Elegant Scipy (Juan Nunez-iglesias (著)、Stéfan Van Der Walt (著)、Harriet Dashnow (著)、 O'Reilly Media)のChapter 3.(Networks of Images Regions with ndimage)のExercise (No. 1567)を取り組んでみる。
Exercises 10-12.(No. 1567)
コード(Emacs)
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from skimage import io
from matplotlib import pyplot as plt
import numpy as np
def overlay_grid(image, spacing=128):
image_gridded = image.copy()
sq_mask = np.zeros(image.shape[:2], bool)
sq_mask = np.array([[i % spacing == 0 or j % spacing == 0
for j in range(sq_mask.shape[1])]
for i in range(sq_mask.shape[0])])
image_gridded[sq_mask] = [0, 0, 255]
return image_gridded
if __name__ == '__main__':
url_astronaut = (
'https://raw.githubusercontent.com/scikit-image/scikit-image/master/'
'skimage/data/astronaut.png'
)
astro = io.imread(url_astronaut)
print('Type:', type(astro), 'Shape:', astro.shape, 'Data type:',
astro.dtype)
plt.figure(figsize=(5, 5))
plt.imshow(overlay_grid(astro))
plt.savefig('sample11.png')
plt.imshow(overlay_grid(astro, 50))
plt.savefig('sample12.png')
plt.imshow(overlay_grid(astro, spacing=100))
plt.savefig('sample13.png')
入出力結果(Terminal, IPython)
$ ./sample1.py Type: <class 'numpy.ndarray'> Shape: (512, 512, 3) Data type: uint8 $
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