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[Enhancement] Accelerate Associative Embedding inference #1102

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wants to merge 9 commits into from
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[Enhancement] Accelerate Associative Embedding inference #1102

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QwQ2000
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@QwQ2000 QwQ2000 commented Dec 24, 2021

Motivation

Improve the inference speed of bottom-up human pose estimators.

Modification

Re-implement AssociativeEmbedding.refine with torch instead of numpy. Accelerate tensor operations and avoid moving large tensors from GPU to CPU. AssociativeEmbedding.parse is also adjusted to fit the changes in AssociativeEmbedding.refine.

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.

ly015 and others added 8 commits December 9, 2021 16:57
* use offical markdownlint hook

* add lint.yml

* add circleci config

* Updated config.yml

* Updated config.yml

* Updated config.yml

* Updated config.yml
* update fap (#1070)

* fix a bug in post_dark_udp

* fix a bug in post_dark_udp

* Modified a bad comment

* add unit test for udp

* add unit test for udp

* use numpy instead math for math ops

* fix lint

Co-authored-by: Jas <jinsheng@sensetime.com>
Co-authored-by: quyang <quyang@qiyi.com>
Co-authored-by: ly015 <liyining0712@gmail.com>
* [Enhancement] inference speed and flops tools. (#986)

* add the function to test the dummy forward speed of models.

* add tools to test the flops and inference speed of multiple models.

* [Feature] Add ViPNAS models for wholebody keypoint detection (#1009)

* add configs

* add dark configs

* add checkpoint and readme

* update webcam demo

* fix model path in webcam demo

* fix unittest

* update model metafiles (#1001)

* [Feature] Add ViPNAS mbv3 (#1025)

* add vipnas mbv3

* test other variants

* submission for mmpose

* add unittest

* add readme

* update .yml

* fix lint

* rebase

* fix pytest

Co-authored-by: jin-s13 <jinsheng13@foxmail.com>

* add cfg file for flops and speed test,  change the bulid_posenet to init_pose_model and fix some typo in cfg (#1028)

* Skip CI when some specific files were changed (#1041)

* add voxelpose

* unit test

* unit test

* unit test

* add docs/ckpts

* del unnecessary comments

* correct typos in comments and docs

* Add or modify docs

* change variable names

* reduce memory cost in test

* get person_id

* rebase

* resolve comments

* rebase master

* rename cfg files

* fix typos in comments

Co-authored-by: zengwang430521 <zengwang430521@gmail.com>
Co-authored-by: Yining Li <liyining0712@gmail.com>
Co-authored-by: Lumin <30328525+luminxu@users.noreply.github.com>
Co-authored-by: jin-s13 <jinsheng13@foxmail.com>
Co-authored-by: Qikai Li <87690686+liqikai9@users.noreply.github.com>
Co-authored-by: QwQ2000 <396707050@qq.com>
* support soft_wing_loss

* add unittest for soft wing loss

* update model md

* update doc
* add adaptive wingloss

* move adaptive wingloss to heatmap_loss

* match shape in wingloss

* rename loss

* mean for loss

* add configs

* fix unittest

* rename mse_loss to heatmap_loss

* add docs

* fix lint

Co-authored-by: ly015 <liyining0712@gmail.com>
* fix doc patch1

* fix docstring

* fix docstring

* fix dataset

* fix dataset

* fix docstring

* resolve warnings

* fix multilines
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codecov bot commented Dec 24, 2021

Codecov Report

❗ No coverage uploaded for pull request base (dev-0.22@cfd4d2e). Click here to learn what that means.
The diff coverage is n/a.

Impacted file tree graph

@@             Coverage Diff             @@
##             dev-0.22    #1102   +/-   ##
===========================================
  Coverage            ?   82.46%           
===========================================
  Files               ?      203           
  Lines               ?    16069           
  Branches            ?     2862           
===========================================
  Hits                ?    13252           
  Misses              ?     2095           
  Partials            ?      722           
Flag Coverage Δ
unittests 82.40% <0.00%> (?)

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@ly015 ly015 changed the base branch from dev-0.22 to dev-0.23 January 5, 2022 06:24
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ly015 commented Jan 26, 2022

This PR did not show a significant effect on the inference speed in tests.

@ly015 ly015 closed this Jan 26, 2022
HAOCHENYE added a commit to HAOCHENYE/mmpose that referenced this pull request Jun 27, 2023
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5 participants