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@whu-pzhang whu-pzhang commented Mar 28, 2022

Motivation

when run .\tools\convert_datasets\isaid.py in Windows OS, as the path str has no /,there will get wrong image save path.

image

Modification

using os.path.basename(src_path).split('.')[0] to get the filename without suffix.

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CLAassistant commented Mar 28, 2022

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@MengzhangLI
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Hi, thanks for your contribution.

BTW, could this pr run correctly in Linux/Ubuntu OS?

@whu-pzhang
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Hi, thanks for your contribution.

BTW, could this pr run correctly in Linux/Ubuntu OS?

I runs the script in Ubuntu20.04, the image filename is current.
image

@MengzhangLI
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Pretty cool! So let it run and we can check out whether the number of train/val is identical.

By the way, could you please fix the lint error? Thanks in advance!

Best,

@whu-pzhang
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Pretty cool! So let it run and we can check out whether the number of train/val is identical.

By the way, could you please fix the lint error? Thanks in advance!

Best,

The proceduce is pretty slow, after it finished, I will report the info.
and the lint error will be fixed in next commit.

@whu-pzhang
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The generated train/val images numbers are 33978 and 11644, which is identical with iSAID
image

@MengzhangLI
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The generated train/val images numbers are 33978 and 11644, which is identical with iSAID image

osp.basename is such a good thing for achieving file name. ;)

@MeowZheng MeowZheng merged commit da8b79b into open-mmlab:master Apr 9, 2022
mob5566 pushed a commit to mob5566/mmsegmentation that referenced this pull request Apr 13, 2022
* [fix] fix image save path bug in Windows

* fix lint error
ZhimingNJ pushed a commit to AetrexTechnology/mmsegmentation that referenced this pull request Jun 29, 2022
* [fix] fix image save path bug in Windows

* fix lint error
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this pull request Mar 27, 2023
* Flax: start adapting to Stable Diffusion 2

* More changes.

* attention_head_dim can be a tuple.

* Fix typos

* Add simple SD 2 integration test.

Slice values taken from my Ampere GPU.

* Add simple UNet integration tests for Flax.

Note that the expected values are taken from the PyTorch results. This
ensures the Flax and PyTorch versions are not too far off.

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <[email protected]>

* Typos and style

* Tests: verify jax is available.

* Style

* Make flake happy

* Remove typo.

* Simple Flax SD 2 pipeline tests.

* Import order

* Remove unused import.

Co-authored-by: Patrick von Platen <[email protected]>
Co-authored-by: @camenduru
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4 participants