cell2mat too slow

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Douglas Chiang
Douglas Chiang am 29 Jul. 2021
Kommentiert: Douglas Chiang am 31 Jul. 2021
Hi community,
I am trying to extract all poses from a struct by:
arrayfun(@(node)(node.pose), nodes, 'UniformOutput', false)
It gives me something like this:
ans =
50×1 cell array
{[ -0.2232 6.2129 0.8631 -0.5050 0]}
{[-0.5066 5.4770 -0.9729 -0.2310 0]}
{[ -0.2650 6.0300 0.7742 -0.6329 0]}
{[ -0.0436 5.4497 0.7313 -0.6820 0]}
{[ -0.0892 5.5517 -0.4583 0.8888 0]}
{[ 0.4760 6.0669 -0.3153 -0.9490 0]}
{[ -0.5377 6.2957 0.9279 -0.3729 0]}
{[-0.6971 5.9071 -0.7730 -0.6344 0]}
...
But I want it to be a matrix like this:
ans =
-0.2232 6.2129 0.8631 -0.5050 0
-0.5066 5.4770 -0.9729 -0.2310 0
-0.2650 6.0300 0.7742 -0.6329 0
-0.0436 5.4497 0.7313 -0.6820 0
-0.0892 5.5517 -0.4583 0.8888 0
0.4760 6.0669 -0.3153 -0.9490 0
-0.5377 6.2957 0.9279 -0.3729 0
-0.6971 5.9071 -0.7730 -0.6344 0
...
So I use cell2mat:
cell2mat(arrayfun(@(node)(node.pose), nodes, 'UniformOutput', false))
But the function cell2mat is spending around 50% of runtime for my program, which slow down quite a lot.
Is there anyway to avoid cell2mat that has an efficient runtime?
Thanks

Akzeptierte Antwort

Bruno Luong
Bruno Luong am 29 Jul. 2021
Try
cat(1, nodes.pose)

Weitere Antworten (1)

Yazan
Yazan am 29 Jul. 2021
To speed up the computations, you simply need to avoid using structure arrays.

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