enforce random sampling at first call in kornia parallell transforms

[edgarriba]

What does this PR do?

enables to reuse the transforms parameters for kornia transforms in different calls

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[codecov]

Codecov Report

Merging #351 (6af13d7) into master (2da2328) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master     #351   +/-   ##
=======================================
  Coverage   88.82%   88.82%           
=======================================
  Files          80       80           
  Lines        4143     4144    +1     
=======================================
+ Hits         3680     3681    +1     
  Misses        463      463           

Flag	Coverage Δ
unittests	88.82% <100.00%> (+<0.01%)	⬆️

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

Impacted Files	Coverage Δ
flash/image/segmentation/transforms.py	100.00% <ø> (ø)
flash/core/data/transforms.py	100.00% <100.00%> (ø)

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[ethanwharris]

Looks good, some failing tests. Is there any reason anyonme would want to do this though? It looks like reuse_params=True will make it apply the same transform every time, so you're not really getting an augmentation just a constant transform.

[ethanwharris]

LGTM 😃

[pep8speaks]

Hello @edgarriba! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-06-01 14:06:51 UTC