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Data Science LAB

[Python] ์›น์—์„œ ์‚ฌ์ง„ ํฌ๋กค๋งํ•˜๊ธฐ(Crawling) ๋ณธ๋ฌธ

๐Ÿ Python/Crawling

[Python] ์›น์—์„œ ์‚ฌ์ง„ ํฌ๋กค๋งํ•˜๊ธฐ(Crawling)

ใ…… ใ…œ ใ…” ใ…‡ 2022. 2. 6. 20:53
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1. ํ•„์š”ํ•œ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๋กœ๋”ฉ

from skimage.io import imread
from skimage.transform import resize
from matplotlib import pyplot as plt
import matplotlib.cm as cm

 

 

2. ํฌ๋กค๋งํ•  ํŽ˜์ด์ง€ ์ž…๋ ฅ ํ›„ ์‹œ๊ฐํ™”ํ•˜์—ฌ ํ™•์ธ

example_file = ("http://upload.wikimedia.org/wikipedia/commons/7/7d/Dog_face.png")
image = imread(example_file)
plt.imshow(image)
plt.show()

 

 

3. ์ƒ‰๊น” ๋ณ€ํ™˜(ํ‘๋ฐฑ์œผ๋กœ)

image = imread(example_file,as_gray = True)
plt.imshow(image,cmap = cm.gray)

 

 

4. cropping(์‚ฌ์ง„ ์ž๋ฅด๊ธฐ)

image2 = image[5:70,0:70]
plt.imshow(image2,cmap = cm.gray)
plt.show()

 

 

5. resize

image3 = resize(image2,(30,30),mode='symmetric')
plt.imshow(image3,cmap = cm.gray)
print("data tye: %s, shape : %s" %(type(image3),image3.shape))

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