[Feature] Add ResizeShortestEdge transform

[xiexinch]

Motivation

Support resize shortest edge while keeping the aspect ratio unchanged.

Modifed from https://github.com/facebookresearch/detectron2/blob/main/detectron2/data/transforms/augmentation_impl.py#L130

Modification

• Add ResizeShortestEdge to mmseg/datasets/transforms/transforms.py
• Add unit test

BC-breaking (Optional)

Depend on mmcv >= 2.0.0rc3

Use cases (Optional)

At train_pipeline:

train_pipeline = [
    ...
    dict(
        type='RandomChoiceResize',
        scales=[128, 256, 512],
        resize_type='ResizeShortestEdge',
        max_size=2048,
    )
    ...
]

[codecov]

Codecov Report

Base: 83.64% // Head: 83.19% // Decreases project coverage by -0.44% ⚠️

Coverage data is based on head (ea217ff) compared to base (6d7af07).
Patch coverage: 86.66% of modified lines in pull request are covered.

❗ Current head ea217ff differs from pull request most recent head 3b731ed. Consider uploading reports for the commit 3b731ed to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #2339      +/-   ##
===========================================
- Coverage    83.64%   83.19%   -0.45%     
===========================================
  Files          141      141              
  Lines         7973     7998      +25     
  Branches      1193     1198       +5     
===========================================
- Hits          6669     6654      -15     
- Misses        1115     1158      +43     
+ Partials       189      186       -3     

Flag	Coverage Δ
unittests	83.19% <86.66%> (-0.45%)	⬇️

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

Impacted Files	Coverage Δ
mmseg/datasets/__init__.py	100.00% <ø> (ø)
mmseg/datasets/transforms/__init__.py	100.00% <ø> (ø)
mmseg/models/decode_heads/knet_head.py	14.04% <0.00%> (-0.08%)	⬇️
mmseg/datasets/transforms/transforms.py	96.42% <88.88%> (-0.49%)	⬇️
mmseg/__init__.py	92.10% <100.00%> (ø)
mmseg/models/backbones/beit.py	78.21% <100.00%> (-14.87%)	⬇️
mmseg/models/backbones/timm_backbone.py	45.83% <0.00%> (+8.33%)	⬆️

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