python - 使用python向图像添加黑框

Question

我有一个包含几个不同尺寸图像的数据集。为了训练我的神经网络，我想通过在所有图像周围添加黑框来将这些图像的大小更改为一个普通的大小。我使用以下代码:

from PIL import Image 
import numpy as np 


old_im = Image.open('C:/Users/tobis/OneDrive/Desktop/Masterarbeit/data/2017-IWT4S-HDR_LP-dataset/crop_h1/I00002.png')
old_size = old_im.size
print(old_size)

new_size = (800, 800)
print(new_size)
new_im = Image.new("RGB", new_size)   ## luckily, this is already black!
new_im.paste(old_im, ((new_size[0]-old_size[0])/2,
                      (new_size[1]-old_size[1])/2))

并得到此错误:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-37-3363f60dba3b> in <module>
     11 new_im = Image.new("RGB", new_size)   ## luckily, this is already black!
     12 new_im.paste(old_im, ((new_size[0]-old_size[0])/2,
---> 13                       (new_size[1]-old_size[1])/2))

~\.conda\envs\python36\lib\site-packages\PIL\Image.py in paste(self, im, box, mask)
   1466             self.im.paste(im, box, mask.im)
   1467         else:
-> 1468             self.im.paste(im, box)
   1469 
   1470     def alpha_composite(self, im, dest=(0, 0), source=(0, 0)):

TypeError: integer argument expected, got float

我不知道为什么会收到此错误。我检查了变量条目的类型，它们都是整数，没有浮点数...我也很惊讶，第一个减法似乎还可以，第二个减法引起了问题...

谁能帮我吗？

Answer 1

该除法产生一个浮点数，但该方法需要整数。

new_size = (800, 800)
print(new_size)
new_im = Image.new("RGB", new_size)   ## luckily, this is already black!
x = int((new_size[0]-old_size[0])/2)
y = int((new_size[1]-old_size[1])/2))
new_im.paste(old_im, (x,y))