[Enhance] Inferencer support mmyolo detector

[Ben-Louis]

Motivation

To allow the demo/inferencer_demo.py to utilize models from mmyolo for object detection in top-down pose estimation.

Modification

BC-breaking (Optional)

Use cases (Optional)

python demo/inferencer_demo.py tests/data/coco/000000000785.jpg --pose2d human \
    --det-model ${MMYOLO_PATH}/configs/yolox/yolox_tiny_fast_8xb8-300e_coco.py \
    --det-weights https://download.openmmlab.com/mmyolo/v0/yolox/yolox_tiny_8xb8-300e_coco/yolox_tiny_8xb8-300e_coco_20220919_090908-0e40a6fc.pth \
    --show

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]

Codecov Report

Patch coverage: 40.00% and project coverage change: -0.07 ⚠️

Comparison is base (71d74de) 82.44% compared to head (5e9796d) 82.38%.

❗ Current head 5e9796d differs from pull request most recent head 7d3107f. Consider uploading reports for the commit 7d3107f to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #2122      +/-   ##
===========================================
- Coverage    82.44%   82.38%   -0.07%     
===========================================
  Files          227      227              
  Lines        13324    13329       +5     
  Branches      2257     2258       +1     
===========================================
- Hits         10985    10981       -4     
- Misses        1829     1840      +11     
+ Partials       510      508       -2     

Flag	Coverage Δ
unittests	82.38% <40.00%> (-0.07%)	⬇️

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

Impacted Files	Coverage Δ
mmpose/apis/inferencers/pose2d_inferencer.py	72.80% <40.00%> (-1.51%)	⬇️

... and 1 file with indirect coverage changes

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 in Codecov by Sentry.
📢 Do you have feedback about the report comment? Let us know in this issue.