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translation of faq.md #1251

Merged
merged 2 commits into from
Sep 7, 2021
Merged

translation of faq.md #1251

merged 2 commits into from
Sep 7, 2021

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EricKani
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@EricKani EricKani commented Aug 8, 2021

Motivation

Translation of docs/faq.md

Modification

docs_zh_CN/faq.md

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codecov bot commented Aug 18, 2021

Codecov Report

Merging #1251 (938e31d) into master (04daea4) will increase coverage by 0.54%.
The diff coverage is 83.33%.

❗ Current head 938e31d differs from pull request most recent head 669d344. Consider uploading reports for the commit 669d344 to get more accurate results
Impacted file tree graph

@@            Coverage Diff             @@
##           master    #1251      +/-   ##
==========================================
+ Coverage   68.27%   68.81%   +0.54%     
==========================================
  Files         160      161       +1     
  Lines       10599    10742     +143     
  Branches     1937     1972      +35     
==========================================
+ Hits         7236     7392     +156     
+ Misses       2979     2962      -17     
- Partials      384      388       +4     
Flag Coverage Δ
unittests 68.81% <83.33%> (+0.54%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
mmcv/__init__.py 100.00% <ø> (ø)
mmcv/arraymisc/__init__.py 100.00% <ø> (ø)
mmcv/arraymisc/quantization.py 100.00% <ø> (ø)
mmcv/cnn/__init__.py 100.00% <ø> (ø)
mmcv/cnn/alexnet.py 26.08% <ø> (ø)
mmcv/cnn/bricks/__init__.py 100.00% <ø> (ø)
mmcv/cnn/bricks/activation.py 87.50% <ø> (ø)
mmcv/cnn/bricks/context_block.py 96.96% <ø> (ø)
mmcv/cnn/bricks/conv.py 100.00% <ø> (ø)
mmcv/cnn/bricks/conv2d_adaptive_padding.py 94.73% <ø> (ø)
... and 100 more

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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@ZwwWayne ZwwWayne merged commit 4f4eb27 into open-mmlab:master Sep 7, 2021
@OpenMMLab-Coodinator
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Hi @EricKani !First of all, we want to express our gratitude for your significant PR in this project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us :https://discord.gg/raweFPmdzG

If you are Chinese or have WeChat,welcome to join our community on WeChat. You can add our assistant :openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends:)
Thank you again for your contribution❤

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4 participants