[Fix] xywh->xyxy calculation in sanity check

[jin-s13]

Motivation

Fix #1333

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]

Codecov Report

Merging #1367 (879a095) into master (e7c7cad) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master    #1367   +/-   ##
=======================================
  Coverage   83.13%   83.13%           
=======================================
  Files         225      225           
  Lines       18979    18979           
  Branches     3386     3386           
=======================================
  Hits        15779    15779           
  Misses       2364     2364           
  Partials      836      836           

Flag	Coverage Δ
unittests	83.07% <100.00%> (ø)

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

Impacted Files	Coverage Δ
...e/datasets/datasets/animal/animal_ap10k_dataset.py	85.29% <100.00%> (ø)
...se/datasets/datasets/animal/animal_atrw_dataset.py	89.09% <100.00%> (ø)
...datasets/datasets/animal/animal_macaque_dataset.py	89.69% <100.00%> (ø)
...se/datasets/datasets/animal/animal_pose_dataset.py	89.69% <100.00%> (ø)
...datasets/datasets/top_down/topdown_coco_dataset.py	89.41% <100.00%> (ø)
...atasets/top_down/topdown_coco_wholebody_dataset.py	93.96% <100.00%> (ø)
...atasets/datasets/top_down/topdown_jhmdb_dataset.py	90.78% <100.00%> (ø)
...sets/top_down/topdown_posetrack18_video_dataset.py	85.55% <100.00%> (ø)

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[ly015]

Do we need to train a few models to verify the performance?

[liqikai9]

The test and train mAP with this change using this config: https://github.com/open-mmlab/mmpose/blob/master/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/res50_coco_256x192.py,

is consistent with the previous results.