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@ly015 ly015 commented Feb 7, 2023

Motivation

Modification

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.

After PR:

  • 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
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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