[Feature] Support score_per_joint in group and nms

[piercus]

Motivation

#1169

Modification

• Add a param score_per_joint in the HeatmapParser group algorithm
• Change ok_nms algorithm to take this into consideration

BC-breaking (Optional)

No

Use cases (Optional)

See #1169

Checklist

Before PR:

• I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
• Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
• Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
• New functionalities are covered by complete unit tests. If not, please add more unit tests to ensure correctness.
• The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

• CLA has been signed and all committers have signed the CLA in this PR.

[CLAassistant]

All committers have signed the CLA.

[codecov]

Codecov Report

Merging #1170 (7844618) into master (d5fd7c6) will decrease coverage by 0.01%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #1170      +/-   ##
==========================================
- Coverage   82.46%   82.45%   -0.02%     
==========================================
  Files         203      203              
  Lines       16069    16077       +8     
  Branches     2862     2868       +6     
==========================================
+ Hits        13252    13256       +4     
- Misses       2095     2099       +4     
  Partials      722      722              

Flag	Coverage Δ
unittests	82.40% <100.00%> (-0.01%)	⬇️

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

Impacted Files	Coverage Δ
mmpose/apis/inference.py	49.15% <100.00%> (+0.17%)	⬆️
mmpose/core/post_processing/group.py	82.94% <100.00%> (+0.30%)	⬆️
mmpose/core/post_processing/nms.py	89.58% <100.00%> (+0.45%)	⬆️
mmpose/datasets/pipelines/top_down_transform.py	64.00% <0.00%> (-1.15%)	⬇️

---

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[ly015]

Hi @piercus , your contribution is very much appreciated.

Would mind taking one more step to bring the codecov rate up to the standard (details can be found here)? Thanks in advance.

[piercus]

@ly015 thanks for the feedback, I have added some coverage, i feel i'm covering 100% of my changes, not sure why codecov/project is still failing

[ly015]

@piercus Thanks. It's probably a codecov issue and the PR looks good.

[OpenMMLab-Assistant005]

Dear piercus,
First of all, we want to express our gratitude for your significant PR in the MMPose 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.
If you are Chinese or have WeChat，welcome to join our community on WeChat. You can add our assistant ：openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends：）
We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. We look forward to seeing you there! Join us ：https://discord.gg/raweFPmdzG
Thank you again for your contribution❤
Best regards！ @piercus