[Fix ] add batch processing when saving frames in demo

[rlleshi]

Currently, array_to_images converts all the array frames to images in one go (so loads them all in memory and then converts them). It might be better to convert them into batches for the following reason:

The np.array-loading of images for example here in the demo means that we load the entire images twice into memory. This means that it can potentially oom if one is processing too many images or if the images are of high resolution.

[codecov]

Codecov Report

Base: 84.77% // Head: 84.77% // Increases project coverage by +0.00% 🎉

Coverage data is based on head (ac40093) compared to base (fe9cc4c).
Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #224   +/-   ##
=======================================
  Coverage   84.77%   84.77%           
=======================================
  Files         199      199           
  Lines       17558    17565    +7     
=======================================
+ Hits        14884    14891    +7     
  Misses       2674     2674           

Flag	Coverage Δ
unittests	84.77% <100.00%> (+<0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmhuman3d/utils/ffmpeg_utils.py	90.57% <ø> (ø)
mmhuman3d/utils/demo_utils.py	84.44% <100.00%> (+0.35%)	⬆️

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[ttxskk]

Hi @rlleshi
Thanks for your contribution, nice PR!
Could you please add a unit test for the added function? You can take this as an example.

[ttxskk]

Many thanks for the update. Currently, there are conflicts that need to be manually resolved.

[rlleshi]

@ttxskk you would like me to resolve them or is it something you need to do?

[ttxskk]

@ttxskk you would like me to resolve them or is it something you need to do?

I hope you can resolve them directly.

[rlleshi]

@ttxskk fixed the conflict