Support Posetrack18

[jin-s13]

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[codecov]

Codecov Report

Merging #220 into master will increase coverage by 0.61%.
The diff coverage is 35.25%.

@@            Coverage Diff             @@
##           master     #220      +/-   ##
==========================================
+ Coverage   82.90%   83.51%   +0.61%     
==========================================
  Files         106      107       +1     
  Lines        6211     6357     +146     
  Branches     1001     1024      +23     
==========================================
+ Hits         5149     5309     +160     
+ Misses        874      850      -24     
- Partials      188      198      +10     

Flag	Coverage Δ
#unittests	83.51% <35.25%> (+0.61%)	⬆️

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

Impacted Files	Coverage Δ
mmpose/apis/inference.py	68.70% <0.00%> (-2.93%)	⬇️
mmpose/datasets/datasets/__init__.py	100.00% <ø> (ø)
...datasets/datasets/top_down/topdown_mpii_dataset.py	42.71% <ø> (ø)
...datasets/datasets/top_down/topdown_coco_dataset.py	88.44% <33.33%> (+24.71%)	⬆️
...s/datasets/top_down/topdown_posetrack18_dataset.py	34.07% <34.07%> (ø)
mmpose/datasets/datasets/top_down/__init__.py	100.00% <100.00%> (ø)
mmpose/models/detectors/top_down.py	77.84% <100.00%> (-0.28%)	⬇️
mmpose/datasets/datasets/mesh/mesh_mix_dataset.py	90.90% <0.00%> (-4.55%)	⬇️
mmpose/core/post_processing/nms.py	86.95% <0.00%> (+1.08%)	⬆️
... and 4 more

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[innerlee]

test coverage drops

[innerlee]

looks nice.

the test images are too large

you can compress them using online services, such as https://compressjpeg.com/