[Refactor] Associative Embedding model

[ly015]

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Motivation

Modification

BC-breaking (Optional)

Use cases (Optional)

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.

[codecov[bot]]

Codecov Report

Base: 78.69% // Head: 79.55% // Increases project coverage by +0.85% :tada:

Coverage data is based on head (bd99293) compared to base (ec6faca). Patch coverage: 78.66% of modified lines in pull request are covered.

:exclamation: Current head bd99293 differs from pull request most recent head ef23c88. Consider uploading reports for the commit ef23c88 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #1654      +/-   ##
===========================================
+ Coverage    78.69%   79.55%   +0.85%     
===========================================
  Files          205      206       +1     
  Lines        11862    12036     +174     
  Branches      1995     2035      +40     
===========================================
+ Hits          9335     9575     +240     
+ Misses        2118     2022      -96     
- Partials       409      439      +30     

Flag	Coverage Δ
unittests	79.55% <78.66%> (+0.85%)	:arrow_up:

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

Impacted Files	Coverage Δ
mmpose/apis/webcam/utils/misc.py	75.97% <ø> (+0.97%)	:arrow_up:
mmpose/codecs/utils/offset_heatmap.py	90.90% <ø> (-0.40%)	:arrow_down:
mmpose/datasets/transforms/formatting.py	82.35% <ø> (ø)
mmpose/utils/tensor_utils.py	62.50% <ø> (ø)
mmpose/evaluation/metrics/coco_metric.py	85.86% <50.00%> (-1.19%)	:arrow_down:
mmpose/models/losses/heatmap_loss.py	53.71% <59.37%> (+21.71%)	:arrow_up:
.../datasets/datasets/base/base_coco_style_dataset.py	88.05% <66.66%> (-2.02%)	:arrow_down:
mmpose/models/utils/tta.py	78.94% <70.00%> (-11.68%)	:arrow_down:
mmpose/models/pose_estimators/bottomup.py	70.68% <70.68%> (ø)
mmpose/models/pose_estimators/topdown.py	68.42% <75.00%> (+6.79%)	:arrow_up:
... and 27 more

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