[Feature] Add InternImage Classification project

[zzc98]

Motivation

Add InternImage Classification project. The source code is from OpenGVLab/InternImage.

Modification

Support InternImage Classification on ImageNet1k dataset.

The result is below,

name	resolution	acc@1	acc@5
InternImage-T	224	83.4700	96.5340
InternImage-S	224	84.1640	96.9320
InternImage-B	224	84.8660	97.1820
InternImage-L	384	87.7060	98.3820
InternImage-XL	384	88.0460	98.5620
InternImage-H	640	89.5500	98.8500
InternImage-G	512	90.0580	98.9700

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

Patch coverage: 45.61% and project coverage change: -1.08 ⚠️

Comparison is base (f9dcae2) 68.16% compared to head (d8c5c17) 67.09%.

❗ Current head d8c5c17 differs from pull request most recent head 21ef80c. Consider uploading reports for the commit 21ef80c to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##              dev    #1569      +/-   ##
==========================================
- Coverage   68.16%   67.09%   -1.08%     
==========================================
  Files         295      308      +13     
  Lines       23372    24572    +1200     
  Branches     3713     3898     +185     
==========================================
+ Hits        15932    16487     +555     
- Misses       6880     7481     +601     
- Partials      560      604      +44     

Flag	Coverage Δ
unittests	67.09% <45.61%> (-1.08%)	⬇️

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

Impacted Files	Coverage Δ
mmpretrain/apis/image_retrieval.py	21.42% <ø> (ø)
mmpretrain/datasets/__init__.py	68.42% <0.00%> (-5.87%)	⬇️
mmpretrain/datasets/gqa_dataset.py	0.00% <0.00%> (ø)
mmpretrain/datasets/nocaps.py	0.00% <0.00%> (ø)
mmpretrain/datasets/scienceqa.py	0.00% <ø> (ø)
mmpretrain/datasets/textvqa.py	0.00% <0.00%> (ø)
mmpretrain/models/classifiers/image.py	89.83% <0.00%> (-3.16%)	⬇️
mmpretrain/models/multimodal/__init__.py	40.00% <0.00%> (-4.45%)	⬇️
...retrain/models/multimodal/chinese_clip/__init__.py	0.00% <0.00%> (ø)
mmpretrain/models/multimodal/chinese_clip/bert.py	0.00% <0.00%> (ø)
... and 29 more

... and 1 file with indirect coverage changes

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[Ezra-Yu]

The current configs are too redundant and could be written in the following structure:

configs 
    ├── _base_.py # all data, schedler, runtime setting of interimage
    ├── tiny.py                      
    ├── small.py             
    └── base.py           

[Ezra-Yu]

LGTM.