Solution:
imgs.reshape(5, 5, 3, 3, 1).swapaxes(1, 2).reshape(15, 15, 1)
Examples:
# 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])
With swap:
[[ 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]]
Without swap:
[[ 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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