Python Numpy如何将数组/图像列表重塑为拼贴画? [英] Python numpy how to reshape this list of arrays/images into a collage?

问题描述

我有以下25张代表图案的微型黑白图像的列表:

I've got the following list of 25 mini black-and-white images representing patterns:

imgs.shape

(25, 3, 3, 1)

即有25种不同的3x3黑白图像模式.我想做的是创建一个包含这些3x3块的5x5的大图像，这有意义吗?如下所示:

I.e. there are 25 different 3x3 black and white image patterns. What I want to do is create a single large image that's 5x5 of these 3x3 blocks, does that make sense? Kind of like this below:

然后我的目的是要具有可以像这样显示和查看的形状(15, 15, 1).我正在将numpy和opencv与Python配合使用.希望为实时处理做一些非常有效的事情，所以我认为numpy的重塑可能是有道理的.

My intention is then to have something of shape (15, 15, 1) that I can display and view like this. I'm using numpy and opencv with Python. Looking to do something quite efficient for real-time processing, so I thought numpy's reshape might make sense.

感谢您的帮助！

推荐答案

解决方案:

imgs.reshape(5, 5, 3, 3, 1).swapaxes(1, 2).reshape(15, 15, 1)

示例:

# test data 
# each 3x3 image consists of the 9 identical digits

A = np.stack([
    np.full((3, 3, 1), i)
    for i in range(1, 26)
])

with_swap = A.reshape(5, 5, 3, 3, 1).swapaxes(1, 2).reshape(15, 15, 1)
print(with_swap[...,-1])

without_swap = A.reshape(15, 15, 1)
print(without_swap[...,-1])

使用交换:

[[ 1  1  1  2  2  2  3  3  3  4  4  4  5  5  5]
 [ 1  1  1  2  2  2  3  3  3  4  4  4  5  5  5]
 [ 1  1  1  2  2  2  3  3  3  4  4  4  5  5  5]
 [ 6  6  6  7  7  7  8  8  8  9  9  9 10 10 10]
 [ 6  6  6  7  7  7  8  8  8  9  9  9 10 10 10]
 [ 6  6  6  7  7  7  8  8  8  9  9  9 10 10 10]
 [11 11 11 12 12 12 13 13 13 14 14 14 15 15 15]
 [11 11 11 12 12 12 13 13 13 14 14 14 15 15 15]
 [11 11 11 12 12 12 13 13 13 14 14 14 15 15 15]
 [16 16 16 17 17 17 18 18 18 19 19 19 20 20 20]
 [16 16 16 17 17 17 18 18 18 19 19 19 20 20 20]
 [16 16 16 17 17 17 18 18 18 19 19 19 20 20 20]
 [21 21 21 22 22 22 23 23 23 24 24 24 25 25 25]
 [21 21 21 22 22 22 23 23 23 24 24 24 25 25 25]
 [21 21 21 22 22 22 23 23 23 24 24 24 25 25 25]]

不进行交换:

[[ 1  1  1  1  1  1  1  1  1  2  2  2  2  2  2]
 [ 2  2  2  3  3  3  3  3  3  3  3  3  4  4  4]
 [ 4  4  4  4  4  4  5  5  5  5  5  5  5  5  5]
 [ 6  6  6  6  6  6  6  6  6  7  7  7  7  7  7]
 [ 7  7  7  8  8  8  8  8  8  8  8  8  9  9  9]
 [ 9  9  9  9  9  9 10 10 10 10 10 10 10 10 10]
 [11 11 11 11 11 11 11 11 11 12 12 12 12 12 12]
 [12 12 12 13 13 13 13 13 13 13 13 13 14 14 14]
 [14 14 14 14 14 14 15 15 15 15 15 15 15 15 15]
 [16 16 16 16 16 16 16 16 16 17 17 17 17 17 17]
 [17 17 17 18 18 18 18 18 18 18 18 18 19 19 19]
 [19 19 19 19 19 19 20 20 20 20 20 20 20 20 20]
 [21 21 21 21 21 21 21 21 21 22 22 22 22 22 22]
 [22 22 22 23 23 23 23 23 23 23 23 23 24 24 24]
 [24 24 24 24 24 24 25 25 25 25 25 25 25 25 25]]

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