[英]How to mask an image in a square shape?
I am trying to mask a square shape out of a rectangular image.我试图从矩形图像中掩盖一个正方形。 Those area out of square shape will be painted white.那些非方形的区域将被漆成白色。 I write code as below.我写的代码如下。
photo_data = imageio.imread('./demo/dog.jpg')
total_rows,total_columns,layer=photo_data.shape
X,Y=np.ogrid[:total_rows,:total_columns]
center_rows=total_rows/2
center_columns=total_columns/2
upper_mask=X-center_rows>500
low_mask=X-center_rows<-500
left_mask=Y-center_columns>500
right_mask=Y-center_columns<-500
final_mask=np.logical_and(upper_mask,low_mask,left_mask,right_mask)
photo_data[final_mask]=0
plt.figure(figsize=(15,15))
plt.imshow(photo_data)
I guess np.logical_and cannot handle array with different number size.我猜 np.logical_and 无法处理具有不同数字大小的数组。 How to resolve this problem?如何解决这个问题?
I think that you make things a bit more complicated than you need to.我认为你让事情变得比你需要的更复杂。 Conceptually, I think that you need to do something along these lines:从概念上讲,我认为您需要按照以下方式做一些事情:
photo_data = imageio.imread('./demo/dog.jpg')
total_rows,total_columns,layer=photo_data.shape
mask_size = 500
photo_data[total_rows/2-mask_size/2:total_rows/2+mask_size/2,
total_columns/2-mask_size/2:total_columns/2+mask_size/2,
:] = 0
plt.figure(figsize=(15,15))
plt.imshow(photo_data)
EDIT:编辑:
I assume that there are even more elegant ways of performing this, but one way that I personally like is to use numpys elemet wise multiplication to apply the mask:我认为有更优雅的方法来执行此操作,但我个人喜欢的一种方法是使用 numpys elemet wise 乘法来应用掩码:
import numpy as np
photo_data = imageio.imread('./demo/dog.jpg')
total_rows,total_columns,layer=photo_data.shape
mask_size = 500
mask = np.zeros(photo_data.shape)
mask[total_rows/2-mask_size/2:total_rows/2+mask_size/2,
total_columns/2-mask_size/2:total_columns/2+mask_size/2,
:] = 1
photo_data = photo_data * mask
plt.figure(figsize=(15,15))
plt.imshow(photo_data)
Instead of代替
np.logical_and(upper_mask,low_mask,left_mask,right_mask)
you can use您可以使用
upper_mask & low_mask & left_mask & right_mask
but actually you need OR
for your task, so correct way is to use:但实际上你需要OR
来完成你的任务,所以正确的方法是使用:
upper_mask | low_mask | left_mask | right_mask
Then you code works well!那么你的代码运行良好!
Full corrected code down below:完整更正的代码如下:
import imageio, numpy as np, matplotlib.pyplot as plt
photo_data = imageio.imread('https://i.stack.imgur.com/lb6U1.jpg')
total_rows,total_columns,layer=photo_data.shape
X,Y=np.ogrid[:total_rows,:total_columns]
center_rows=total_rows/2
center_columns=total_columns/2
upper_mask=X-center_rows>100
low_mask=X-center_rows<-100
left_mask=Y-center_columns>100
right_mask=Y-center_columns<-100
final_mask=upper_mask | low_mask | left_mask | right_mask
photo_data[final_mask]=0
plt.figure(figsize=(7,5))
plt.imshow(photo_data)
plt.show()
Input:输入:
Output:输出:
Also if you want white surroundings instead of black then replace另外,如果您想要白色环境而不是黑色,请更换
photo_data[final_mask]=0
with和
photo_data[final_mask]=255
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