转:https://blog.csdn.net/wenqiwenqi123/article/details/79306611
这个函数如它名字一般,就是拿来重新调整图片的形状的。
这样说比较抽象,直接看代码:
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import scipy.misc
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import numpy as np
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def imread(path):
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img = scipy.misc.imread(path).astype(np.float)
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if len(img.shape) == 2:
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# grayscale
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img = np.dstack((img,img,img))
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elif img.shape[ 2] == 4:
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# PNG with alpha channel
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img = img[:,:,: 3]
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return img
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content_image = imread( 'examples/beili.jpg') # 读取content图片
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print(content_image.shape) #原图shape
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content_image1 = scipy.misc.imresize(content_image, ( 200, 500))
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print(content_image1.shape) #输入固定大小调整shape
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content_image2 = scipy.misc.imresize(content_image, 0.5)
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print(content_image2.shape) #输入比例调整shape
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content_image3 = scipy.misc.imresize(content_image, 5)
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print(content_image3.shape) #输入一个大于1的数,默认为百分比。例如输入5就等于5%
(356, 600, 3)
(200, 500, 3)
(178, 300, 3)
(17, 30, 3)
具体用法见代码注释。