[Feature] Add Biomedical 3D array random crop transform

[Yejin0111]

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Motivation

Add random crop for the biomedical image.

Modification

implement nnUNet random crop before data augmentation

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMDet3D.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[MeowZheng]

remove randomness seed

[codecov]

Codecov Report

Base: 83.26% // Head: 83.38% // Increases project coverage by +0.11% 🎉

Coverage data is based on head (678344c) compared to base (933e4d3).
Patch coverage: 88.60% of modified lines in pull request are covered.

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #2378      +/-   ##
===========================================
+ Coverage    83.26%   83.38%   +0.11%     
===========================================
  Files          142      143       +1     
  Lines         8068     8204     +136     
  Branches      1205     1219      +14     
===========================================
+ Hits          6718     6841     +123     
- Misses        1163     1171       +8     
- Partials       187      192       +5     

Flag	Coverage Δ
unittests	83.38% <88.60%> (+0.11%)	⬆️

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

Impacted Files	Coverage Δ
mmseg/datasets/transforms/transforms.py	95.23% <88.31%> (-1.20%)	⬇️
mmseg/datasets/__init__.py	100.00% <100.00%> (ø)
mmseg/datasets/transforms/__init__.py	100.00% <100.00%> (ø)
mmseg/datasets/ade.py	100.00% <0.00%> (ø)
mmseg/datasets/hrf.py	75.00% <0.00%> (ø)
mmseg/datasets/lip.py	100.00% <0.00%> (ø)
mmseg/datasets/voc.py	100.00% <0.00%> (ø)
mmseg/datasets/drive.py	75.00% <0.00%> (ø)
mmseg/datasets/isaid.py	100.00% <0.00%> (ø)
mmseg/datasets/isprs.py	100.00% <0.00%> (ø)
... and 11 more

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[OpenMMLab-Assistant-007]

Hi @Yejin0111 !
First of all, we want to express our gratitude for your significant PR in the OpenMMLab project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

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