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[Feature] add DeciWatch for 10x efficiency improvement #1326

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Motivation

DeciWatch is a simple baseline framework for video-based 2D/3D human pose estimation that can achieve 10× efficiency improvement over existing works without any performance degradation.
paper: https://arxiv.org/pdf/2203.08713.pdf
website: https://ailingzeng.site/deciwatch

Modification

add a file: deciwatch.py
in mmpose/core/post_processing/temporal_filters/

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.

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codecov bot commented Apr 19, 2022

Codecov Report

Attention: Patch coverage is 17.39130% with 247 lines in your changes missing coverage. Please review.

Project coverage is 82.99%. Comparing base (4853b4b) to head (e113069).
Report is 111 commits behind head on master.

Files with missing lines Patch % Lines
...core/post_processing/temporal_filters/deciwatch.py 17.11% 247 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##           master    #1326      +/-   ##
==========================================
- Coverage   84.10%   82.99%   -1.11%     
==========================================
  Files         215      216       +1     
  Lines       17674    17973     +299     
  Branches     3139     3169      +30     
==========================================
+ Hits        14865    14917      +52     
- Misses       2018     2265     +247     
  Partials      791      791              
Flag Coverage Δ
unittests 82.92% <17.39%> (-1.11%) ⬇️

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@jin-s13
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jin-s13 commented Apr 20, 2022

Thanks @ailingzengzzz , is this PR ready for review now?

@ailingzengzzz
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Hi @jin-s13 , Not ready. I will update the API to use the model soon.

@jin-s13 jin-s13 changed the title [feature] add DeciWatch for 10x efficiency improvement [Feature] add DeciWatch for 10x efficiency improvement Jul 14, 2022
@rlleshi
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rlleshi commented Nov 4, 2022

Is this PR still planned?

@jin-s13 kind ping. @ailingzengzzz @ly015

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3 participants