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[Docs] Add custom evaluation docs #1130

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merged 3 commits into from
Nov 1, 2022
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@yingfhu yingfhu commented Oct 25, 2022

Modification

Add 1.x evaluation docs

BC-breaking (Optional)

Does the modification introduce changes that break the backward compatibility of the downstream repositories?
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

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.

@yingfhu yingfhu added the 1.0rc Functionalities for MMClassification 1.0rc label Oct 25, 2022
@yingfhu yingfhu requested a review from mzr1996 October 25, 2022 07:37
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codecov bot commented Oct 28, 2022

Codecov Report

Base: 0.02% // Head: 91.35% // Increases project coverage by +91.33% 🎉

Coverage data is based on head (3a6c609) compared to base (b8b31e9).
Patch has no changes to coverable lines.

Additional details and impacted files
@@             Coverage Diff              @@
##           dev-1.x    #1130       +/-   ##
============================================
+ Coverage     0.02%   91.35%   +91.33%     
============================================
  Files          121      130        +9     
  Lines         8217     9775     +1558     
  Branches      1368     1539      +171     
============================================
+ Hits             2     8930     +8928     
+ Misses        8215      648     -7567     
- Partials         0      197      +197     
Flag Coverage Δ
unittests 91.35% <ø> (+91.33%) ⬆️

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

Impacted Files Coverage Δ
mmcls/apis/inference.py 0.00% <0.00%> (ø)
mmcls/datasets/transforms/compose.py
mmcls/models/backbones/mobilevit.py 91.15% <0.00%> (ø)
mmcls/models/heads/efficientformer_head.py 93.10% <0.00%> (ø)
mmcls/models/backbones/swin_transformer_v2.py 89.47% <0.00%> (ø)
mmcls/structures/utils.py 77.77% <0.00%> (ø)
mmcls/models/utils/layer_scale.py 86.66% <0.00%> (ø)
mmcls/models/backbones/efficientformer.py 95.08% <0.00%> (ø)
mmcls/models/backbones/mobileone.py 94.47% <0.00%> (ø)
mmcls/models/backbones/edgenext.py 95.20% <0.00%> (ø)
... and 120 more

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@mzr1996 mzr1996 merged commit 50aaa71 into open-mmlab:dev-1.x Nov 1, 2022
mzr1996 added a commit to mzr1996/mmpretrain that referenced this pull request Nov 24, 2022
* [Docs] Add evaluation docs

* minor fix

* Fix docs.

Co-authored-by: mzr1996 <mzr1996@163.com>
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