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[Fix] Associative Embedding inference align with master #1960

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[Fix] Associative Embedding inference align with master #1960

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@ly015 ly015 commented Feb 7, 2023

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BC-breaking (Optional)

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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.

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

@ly015 ly015 marked this pull request as draft February 7, 2023 06:25
ly015
ly015 commented Feb 7, 2023
View reviewed changes
mmpose/datasets/transforms/bottomup_transforms.py Outdated
@@ -478,6 +478,7 @@ def transform(self, results: Dict) -> Optional[dict]:
output_size=actual_input_size)
else:
center = np.array([img_w / 2, img_h / 2], dtype=np.float32)
center = np.round(center)
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@Ben-Louis This rounding is implemented in the master branch, but missing in the 1.x branch. It will affect the performance of AE models. Could you please check its influence on DEKR?

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@Ben-Louis This rounding is implemented in the master branch, but missing in the 1.x branch. It will affect the performance of AE models. Could you please check its influence on DEKR?

For DEKR models, rounding the center can result in a reduction of about 0.1 AP on COCO

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