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[Bug fix] Fixed ADE20k test #359

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merged 2 commits into from
Jan 24, 2021
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xvjiarui
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Fixed #358

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codecov bot commented Jan 23, 2021

Codecov Report

Merging #359 (857e21b) into master (faaf29e) will increase coverage by 0.02%.
The diff coverage is 14.28%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #359      +/-   ##
==========================================
+ Coverage   86.11%   86.13%   +0.02%     
==========================================
  Files          96       96              
  Lines        4906     4906              
  Branches      799      799              
==========================================
+ Hits         4225     4226       +1     
+ Misses        527      524       -3     
- Partials      154      156       +2     
Flag Coverage Δ
unittests 86.13% <14.28%> (+0.02%) ⬆️

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Impacted Files Coverage Δ
mmseg/core/evaluation/metrics.py 79.36% <14.28%> (+1.58%) ⬆️

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@yamengxi
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Thanks for bug fixing, I think it is ok.

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Thanks for bug fixing, I think it is ok.

@xvjiarui xvjiarui merged commit 6879b0d into open-mmlab:master Jan 24, 2021
bowenroom pushed a commit to bowenroom/mmsegmentation that referenced this pull request Feb 25, 2022
* [Bug fix] Fixed ADE20k test

* fixed ade cfg
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this pull request Mar 27, 2023
sibozhang pushed a commit to sibozhang/mmsegmentation that referenced this pull request Mar 22, 2024
* [Docs] Update docs about test crops.
1. Add more docs.
2. Update default configs in TSM model when using DenseSampleFrames.

* [Docs] Update docs about test crops
1. Add more docs.
2. Update default configs in TSM model when using DenseSampleFrames.

* calculate num_crops automatically

* remove `twice_sample/test_crops` in test_cfg

* update all tsm model `test_cfg['average_clips']` default value to 'prob'

* add changelog

* fix a bug when using tsn and `test_cfg['average_clips']='prob'`

* fix docs and add docs for open-mmlab#363

* use `num_segments` instead of `num_segs` in average_clip

* use `num_segs` in TSMHead and average_clip.
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pretrained model evaluation?and train from scratch
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