open-mmlab / mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark
https://mmselfsup.readthedocs.io/en/latest/
Apache License 2.0
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[Docs] Update links #738

Closed fangyixiao18 closed 1 year ago

fangyixiao18 commented 1 year ago

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

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Modification

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Checklist

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codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 100.00% and project coverage change: -1.06 :warning:

Comparison is base (a1f1dad) 81.84% compared to head (ee77b1a) 80.79%.

:exclamation: Current head ee77b1a differs from pull request most recent head dce4298. Consider uploading reports for the commit dce4298 to get more accurate results

Additional details and impacted files ```diff @@ Coverage Diff @@ ## dev-1.x #738 +/- ## =========================================== - Coverage 81.84% 80.79% -1.06% =========================================== Files 120 144 +24 Lines 4176 5207 +1031 Branches 586 693 +107 =========================================== + Hits 3418 4207 +789 - Misses 645 860 +215 - Partials 113 140 +27 ``` | Flag | Coverage Δ | | |---|---|---| | unittests | `80.79% <100.00%> (-1.06%)` | :arrow_down: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#carryforward-flags-in-the-pull-request-comment) to find out more. | [Impacted Files](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab) | Coverage Δ | | |---|---|---| | [mmselfsup/apis/inference.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2FwaXMvaW5mZXJlbmNlLnB5) | `50.00% <ø> (+1.21%)` | :arrow_up: | | [mmselfsup/datasets/image\_list\_dataset.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL2ltYWdlX2xpc3RfZGF0YXNldC5weQ==) | `100.00% <ø> (+67.74%)` | :arrow_up: | | [mmselfsup/datasets/samplers/deepcluster\_sampler.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3NhbXBsZXJzL2RlZXBjbHVzdGVyX3NhbXBsZXIucHk=) | `95.83% <ø> (ø)` | | | [mmselfsup/datasets/transforms/\_\_init\_\_.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvX19pbml0X18ucHk=) | `100.00% <ø> (ø)` | | | [mmselfsup/datasets/transforms/formatting.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvZm9ybWF0dGluZy5weQ==) | `95.31% <ø> (+0.23%)` | :arrow_up: | | [mmselfsup/datasets/transforms/processing.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvcHJvY2Vzc2luZy5weQ==) | `89.43% <ø> (+0.21%)` | :arrow_up: | | [mmselfsup/datasets/transforms/pytorch\_transform.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvcHl0b3JjaF90cmFuc2Zvcm0ucHk=) | `100.00% <ø> (ø)` | | | [mmselfsup/datasets/transforms/wrappers.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvd3JhcHBlcnMucHk=) | `100.00% <ø> (ø)` | | | [mmselfsup/engine/hooks/deepcluster\_hook.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2VuZ2luZS9ob29rcy9kZWVwY2x1c3Rlcl9ob29rLnB5) | `38.88% <ø> (-0.55%)` | :arrow_down: | | [mmselfsup/engine/optimizers/lars.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2VuZ2luZS9vcHRpbWl6ZXJzL2xhcnMucHk=) | `16.12% <ø> (ø)` | | | ... and [33 more](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab) | | ... and [31 files with indirect coverage changes](https://codecov.io/gh/open-mmlab/mmselfsup/pull/738/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab) Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab)

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