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[Feature] Support ONNX and TensorRT exportation of RTMO models #2597

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merged 10 commits into from
Dec 14, 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

Support ONNX and TensorRT exportation of RTMO models

Modification

  1. Rewrite the inference procedure of RTMO head
  2. Add deploy configs for RTMO models that support backends including ONNX and TensorRT
  3. Apply deploy-time network architecture transform for MMPose models.

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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@RunningLeon RunningLeon left a comment

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LGTM

@Ben-Louis
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@Ben-Louis hi, can you update the support model list in

Sure. And we will update the link (dev-1.x -> main) and the result on other backends in the future.

@RunningLeon RunningLeon merged commit 1e3d06d into open-mmlab:main Dec 14, 2023
23 of 27 checks passed
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3 participants