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[Fix] Fix Dice Metric in .yml file #1041

Merged
merged 1 commit into from
Nov 16, 2021
Merged

[Fix] Fix Dice Metric in .yml file #1041

merged 1 commit into from
Nov 16, 2021

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MengzhangLI
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In the past, the metric in yml is usually mIoU, where some metric such as Dice in UNet is wrong.

@MengzhangLI MengzhangLI self-assigned this Nov 15, 2021
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codecov bot commented Nov 15, 2021 •
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 89.55%. Comparing base (6b3e550) to head (d0ba694).
Report is 300 commits behind head on master.

Additional details and impacted files 
@@           Coverage Diff           @@
##           master    #1041   +/-   ##
=======================================
  Coverage   89.55%   89.55%           
=======================================
  Files         119      119           
  Lines        6626     6626           
  Branches     1034     1034           
=======================================
  Hits         5934     5934           
  Misses        488      488           
  Partials      204      204
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@Junjun2016 Junjun2016 merged commit 97f9670 into open-mmlab:master Nov 16, 2021
@MengzhangLI MengzhangLI deleted the fix_metric_yml branch February 1, 2022 03:17
bowenroom pushed a commit to bowenroom/mmsegmentation that referenced this pull request Feb 25, 2022
@MengzhangLI
fixing dice metric in unet (open-mmlab#1041)
6d88b07
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this pull request Mar 27, 2023
@patrickvonplaten
Fix some failing tests (open-mmlab#1041)
8d6487f 
* up

* up

* up

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

* Apply suggestions from code review
wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this pull request Dec 3, 2023
@ly015 @luminxu
@zengwang430521 @jin-s13 @liqikai9 @QwQ2000
Merge dev-0.21 into master (open-mmlab#1062)
2a0a2d2 
* map location to cpu when load checkpoint (open-mmlab#1007)

* [Enhancement] Support minus output feature index in mobilenet_v3 (open-mmlab#1005)

* fix typo in mobilenet_v3

* fix typo in mobilenet_v3

* use -1 to indicate output tensors from final stage

* support negative out_indices

* [Enhancement] inference speed and flops tools. (open-mmlab#986)

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

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

* [Fix] Update pose tracking demo to be compatible with latest mmtrakcing (open-mmlab#1014)

* update mmtracking demo

* support both track_bboxes and track_results

* add docstring

* [Fix] fix skeleton_info of coco wholebody dataset (open-mmlab#1010)

* fix wholebody base dataset

* fix lint

* fix lint

Co-authored-by: ly015 <liyining0712@gmail.com>

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

* add configs

* add dark configs

* add checkpoint and readme

* update webcam demo

* fix model path in webcam demo

* fix unittest

* [Fix] Fix bbox label visualization (open-mmlab#1020)

* update model metafiles (open-mmlab#1001)

* update hourglass ae .md (open-mmlab#1027)

* [Feature] Add ViPNAS mbv3 (open-mmlab#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>

* [Enhancement] Set a random seed when the user does not set a seed (open-mmlab#1030)

* fix randseed

* fix lint

* fix import

* fix isort

* update yapf hook

* revert yapf version

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

* [Enhancement] Add more functions for speed test tool (open-mmlab#1034)

* add batch size and device args in speed test script, and remove MMDataParallel warper

* add vipnas_mbv3 model

* fix dead link (open-mmlab#1038)

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

* update sigmas (open-mmlab#1040)

* add more configs, ckpts and logs for HRNet on PoseTrack18 (open-mmlab#1035)

* [Feature] Add PoseWarper dataset (open-mmlab#1006)

* add PoseWarper dataset and base class

* modify pipelines related to video

* add unittest for PoseWarper dataset

* add unittest for evaluation function in posetrack18-realted dataset, and add some annotations json files

* fix typo

* fix unittest CI failure

* fix typo

* add PoseWarper dataset and base class

* modify pipelines related to video

* add unittest for PoseWarper dataset

* add unittest for evaluation function in posetrack18-realted dataset, and add some annotations json files

* fix typo

* fix unittest CI failure

* fix typo

* modify some methods in the base class to improve code coverage rate

* recover some mistakenly-deleted notes

* remove test_dataset_info part for the new TopDownPoseTrack18VideoDataset class

* cancel uncompleted previous runs (open-mmlab#1053)

* [Doc] Add inference speed results (open-mmlab#1044)

* add docs related to inference speed results

* add corresponding Chinese docs and fix some typos

* add Chinese docs in readthedocs

* remove the massive table in readme

* minor modification to wording

Co-authored-by: ly015 <liyining0712@gmail.com>

* [Feature] Add PoseWarper detector model (open-mmlab#932)

* Add top down video detector module

* Add PoseWarper neck

* add function _freeze_stages

* fix typo

* modify PoseWarper detector and PoseWarperNeck

* fix typo

* modify posewarper detector and neck

* Delete top_down_video.py

change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown`

* fix spell typo

* modify detector and neck

* add unittest for detector and neck

* modify unittest for posewarper forward

* Add top down video detector module

* Add PoseWarper neck

* add function _freeze_stages

* fix typo

* modify PoseWarper detector and PoseWarperNeck

* fix typo

* modify posewarper detector and neck

* Delete top_down_video.py

change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown`

* fix spell typo

* modify detector and neck

* add unittest for detector and neck

* modify unittest for posewarper forward

* modify dependency on mmcv version in posewarper neck

* reduce memory cost in test

* modify flops tool for more flexible input format

* Add top down video detector module

* Add PoseWarper neck

* add function _freeze_stages

* fix typo

* modify PoseWarper detector and PoseWarperNeck

* fix typo

* modify posewarper detector and neck

* Delete top_down_video.py

change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown`

* fix spell typo

* modify detector and neck

* add unittest for detector and neck

* modify unittest for posewarper forward

* Add PoseWarper neck

* modify PoseWarper detector and PoseWarperNeck

* modify posewarper detector and neck

* Delete top_down_video.py

change the base class of `PoseWarper` detector from `TopDownVideo` to `TopDown`

* fix spell typo

* modify detector and neck

* add unittest for detector and neck

* modify unittest for posewarper forward

* modify dependency on mmcv version in posewarper neck

* reduce memory cost in test

* modify flops tool for more flexible input format

* modify the posewarper detector description

* modify some arguments and related fields

* modify default values for some args

* fix readthedoc bulid typo

* fix ignore path (open-mmlab#1059)

* [Doc]  Add related docs for PoseWarper (open-mmlab#1036)

* add related docs for PoseWarper

* add related readme docs for posewarper

* modify related args in posewarper stage2 config

* modify posewarper stage2 config path

* add description about val_boxes path for data preparation (open-mmlab#1060)

* bump version to v0.21.0 (open-mmlab#1061)

* [Feature] Add ViPNAS_Mbv3 wholebody model (open-mmlab#1055)

* add vipnas mbv3 coco_wholebody

* add vipnas mbv3 coco_wholebody md&yml

* fix lint

Co-authored-by: ly015 <liyining0712@gmail.com>

Co-authored-by: Lumin <30328525+luminxu@users.noreply.github.com>
Co-authored-by: zengwang430521 <zengwang430521@gmail.com>
Co-authored-by: Jas <jinsheng@sensetime.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>
wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this pull request Dec 3, 2023
@wusize @zengwang430521
@ly015 @luminxu @jin-s13 @liqikai9 @QwQ2000
[Feature] Voxelpose (open-mmlab#1050)
1621255 
* [Enhancement] inference speed and flops tools. (open-mmlab#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 (open-mmlab#1009)

* add configs

* add dark configs

* add checkpoint and readme

* update webcam demo

* fix model path in webcam demo

* fix unittest

* update model metafiles (open-mmlab#1001)

* [Feature] Add ViPNAS mbv3 (open-mmlab#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 (open-mmlab#1028)

* Skip CI when some specific files were changed (open-mmlab#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>
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@Junjun2016 Junjun2016 Junjun2016 approved these changes

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@MengzhangLI @Junjun2016