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Fix "the output num_classes of auxiliary head is not same as num_classes of ground truth seg_map". #488

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merged 4 commits into from
Apr 24, 2021

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@clownrat6 clownrat6 commented Apr 16, 2021

Pascal Context

All evaluations are conducted after #471.

model num classes Lr schd status mIoU mIoU(ms+flip)
FCN_R-101-D8 60 40000 before fix 44.14 45.67
FCN_R-101-D8 60 40000 after fix 44.43 45.63
FCN_R-101-D8 60 80000 before fix 44.47 45.74
FCN_R-101-D8 60 80000 after fix 44.13 45.26

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codecov bot commented Apr 16, 2021

Codecov Report

Merging #488 (51b211b) into master (5b33faa) will decrease coverage by 0.05%.
The diff coverage is n/a.

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@@            Coverage Diff             @@
##           master     #488      +/-   ##
==========================================
- Coverage   86.53%   86.47%   -0.06%     
==========================================
  Files          98       98              
  Lines        5133     5133              
  Branches      829      829              
==========================================
- Hits         4442     4439       -3     
- Misses        534      535       +1     
- Partials      157      159       +2     
Flag Coverage Δ
unittests 86.47% <ø> (-0.06%) ⬇️

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Impacted Files Coverage Δ
mmseg/datasets/pipelines/transforms.py 97.12% <0.00%> (-0.87%) ⬇️

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@clownrat6 clownrat6 changed the title Fix "the output num_classes of auxiliary head is not match num_classes of ground truth seg_map". Fix "the output num_classes of auxiliary head is not same as num_classes of ground truth seg_map". Apr 17, 2021
@xvjiarui xvjiarui merged commit 84fb600 into open-mmlab:master Apr 24, 2021
bowenroom pushed a commit to bowenroom/mmsegmentation that referenced this pull request Feb 25, 2022
…ses of ground truth seg_map". (open-mmlab#488)

* Fix "the output num_classes of auxiliary head is not match num_classes of ground truth seg_map".

* Fix spelling mistake;

* Modify "model download link", "log link";
sibozhang pushed a commit to sibozhang/mmsegmentation that referenced this pull request Mar 22, 2024
* add base of configs

* refactor all configs

* remove tsn_r18.py since tsn_r50.py exists

* remove dataset base

* check the config file

* match the data path in the config files to the data preprocessing docs

* unified activitynet data file path in the configs

* remove empty file
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2 participants