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[Feature] Add TDAN config and models #347

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merged 4 commits into from Jun 1, 2021

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codecov bot commented May 31, 2021

Codecov Report

Merging #347 (88310ad) into master (290c75e) will decrease coverage by 0.02%.
The diff coverage is n/a.

❗ Current head 88310ad differs from pull request most recent head 664a8f2. Consider uploading reports for the commit 664a8f2 to get more accurate results
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@@            Coverage Diff             @@
##           master     #347      +/-   ##
==========================================
- Coverage   79.98%   79.96%   -0.03%     
==========================================
  Files         180      180              
  Lines        9435     9435              
  Branches     1377     1377              
==========================================
- Hits         7547     7545       -2     
- Misses       1698     1699       +1     
- Partials      190      191       +1     
Flag Coverage Δ
unittests 79.95% <ø> (-0.02%) ⬇️

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Impacted Files Coverage Δ
...ls/components/stylegan2/generator_discriminator.py 84.93% <0.00%> (-1.21%) ⬇️

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@innerlee
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innerlee commented May 31, 2021

As discussed in private, need to add training steps in the algorithm's README

@@ -33,14 +33,16 @@ You can use the following command to train a model.
./tools/dist_train.sh ${CONFIG_FILE} ${GPU_NUM} [optional arguments]
```

TDAN is trained with two stages. For example, when training on Bicubic downsampling, you need to use
TDAN is trained with two stages. For example:
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For example:

@innerlee innerlee merged commit 085a277 into open-mmlab:master Jun 1, 2021
@ckkelvinchan ckkelvinchan deleted the tdan_config branch June 1, 2021 03:47
Yshuo-Li pushed a commit to Yshuo-Li/mmediting that referenced this pull request Jul 15, 2022
* Add TDAN config and models

* Add training and test descriptions

* Update readme descrptions

* Update README
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2 participants