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[Fix] fix the onnx exportation for yoloxpose in mmpose #2466

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merged 8 commits into from
Oct 23, 2023

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Ben-Louis
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

In the latest version of mmpose, YOLOX-Pose models have been moved from projects to the core package. As a result, the model structure has changed and the old implementation in mmdeploy is no longer compatible.

Modification

Please briefly describe what modification is made in this PR.

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

  1. Pre-commit or other linting tools are used to fix the potential lint issues.
  2. The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness.
  3. If the modification has a dependency on downstream projects of a newer version, this PR should be tested with all supported versions of downstream projects.
  4. The documentation has been modified accordingly, like docstring or example tutorials.

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CLAassistant commented Sep 27, 2023

CLA assistant check
All committers have signed the CLA.

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codecov bot commented Sep 28, 2023

Codecov Report

Attention: 22 lines in your changes are missing coverage. Please review.

Files Coverage Δ
mmdeploy/codebase/mmpose/deploy/pose_detection.py 72.19% <ø> (ø)
...loy/codebase/mmpose/deploy/pose_detection_model.py 53.03% <23.07%> (-1.24%) ⬇️
...oy/codebase/mmpose/models/heads/yolox_pose_head.py 18.75% <7.69%> (-0.61%) ⬇️

... and 9 files with indirect coverage changes

📢 Thoughts on this report? Let us know!.

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@RunningLeon RunningLeon left a comment

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LGTM

@RunningLeon RunningLeon merged commit 6edd802 into open-mmlab:main Oct 23, 2023
25 of 27 checks passed
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4 participants