[Feature] Support InShop Dataset (Image Retrieval).

[zzc98]

Motivation

Support InShop dataset .

Example

>>> from mmcls.data import InShop

>>> data_root = 'data/inshop'
>>> inshop_train_cfg = dict(data_root='data/inshop', split='train')
>>> inshop_train = InShop(**inshop_train_cfg)
>>> len(inshop_train)
25882
>>> inshop_query_cfg = dict(data_root='data/inshop', split='query')
>>> inshop_query = InShop(**inshop_query_cfg)
>>> len(inshop_query)
14218
>>> inshop_gallery_cfg = dict(data_root='data/inshop', split='gallery')
>>> inshop_gallery = InShop(**inshop_gallery_cfg)
>>> len(inshop_gallery)
12612

Checklist

Before PR:

• Pre-commit or other linting tools are used to fix the potential lint issues.
• Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
• The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
• The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

• If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg.
• CLA has been signed and all committers have signed the CLA in this PR.

[codecov]

Codecov Report

Base: 0.02% // Head: 86.64% // Increases project coverage by +86.62% 🎉

Coverage data is based on head (e7b74ca) compared to base (b8b31e9).
Patch has no changes to coverable lines.

Additional details and impacted files

@@             Coverage Diff              @@
##           dev-1.x    #1019       +/-   ##
============================================
+ Coverage     0.02%   86.64%   +86.62%     
============================================
  Files          121      166       +45     
  Lines         8217    13440     +5223     
  Branches      1368     2136      +768     
============================================
+ Hits             2    11645    +11643     
+ Misses        8215     1448     -6767     
- Partials         0      347      +347     

Flag	Coverage Δ
unittests	86.64% <ø> (+86.62%)	⬆️

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

Impacted Files	Coverage Δ
mmcls/datasets/transforms/compose.py
mmcls/engine/hooks/switch_recipe_hook.py	88.46% <0.00%> (ø)
mmcls/evaluation/metrics/multi_task.py	94.59% <0.00%> (ø)
mmcls/models/backbones/deit3.py	94.52% <0.00%> (ø)
mmcls/models/retrievers/base.py	100.00% <0.00%> (ø)
mmcls/structures/multi_task_data_sample.py	100.00% <0.00%> (ø)
mmcls/models/backbones/mvit.py	92.46% <0.00%> (ø)
mmcls/models/heads/multi_task_head.py	96.87% <0.00%> (ø)
mmcls/models/backbones/davit.py	84.94% <0.00%> (ø)
mmcls/models/tta/score_tta.py	100.00% <0.00%> (ø)
... and 157 more

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report at Codecov.
📢 Do you have feedback about the report comment? Let us know in this issue.

[Ezra-Yu]

LGTM.