open-mmlab / mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark
https://mmselfsup.readthedocs.io/en/latest/
Apache License 2.0
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[Fix] Fixed bugs in configs/selfsup/eva/metafile.yaml #669

Closed wangbo-zhao closed 1 year ago

wangbo-zhao commented 1 year ago

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fangyixiao18 commented 1 year ago

image pretrained weight is also missing

codecov[bot] commented 1 year ago

Codecov Report

Base: 80.49% // Head: 80.60% // Increases project coverage by +0.10% :tada:

Coverage data is based on head (e64e5e9) compared to base (7a16b4e). Patch has no changes to coverable lines.

:exclamation: Current head e64e5e9 differs from pull request most recent head 3a2a1bf. Consider uploading reports for the commit 3a2a1bf to get more accurate results

Additional details and impacted files ```diff @@ Coverage Diff @@ ## dev-1.x #669 +/- ## =========================================== + Coverage 80.49% 80.60% +0.10% =========================================== Files 141 141 Lines 5056 5089 +33 Branches 671 671 =========================================== + Hits 4070 4102 +32 + Misses 851 850 -1 - Partials 135 137 +2 ``` | Flag | Coverage Δ | | |---|---|---| | unittests | `80.60% <ø> (+0.10%)` | :arrow_up: | 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/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab) | Coverage Δ | | |---|---|---| | [mmselfsup/datasets/transforms/processing.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvcHJvY2Vzc2luZy5weQ==) | `88.79% <0.00%> (-0.12%)` | :arrow_down: | | [mmselfsup/utils/gather.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL3V0aWxzL2dhdGhlci5weQ==) | `100.00% <0.00%> (ø)` | | | [mmselfsup/utils/batch\_shuffle.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL3V0aWxzL2JhdGNoX3NodWZmbGUucHk=) | `100.00% <0.00%> (ø)` | | | [mmselfsup/models/heads/cae\_head.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL21vZGVscy9oZWFkcy9jYWVfaGVhZC5weQ==) | `100.00% <0.00%> (ø)` | | | [mmselfsup/models/algorithms/moco.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL21vZGVscy9hbGdvcml0aG1zL21vY28ucHk=) | `100.00% <0.00%> (ø)` | | | [mmselfsup/models/algorithms/simclr.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL21vZGVscy9hbGdvcml0aG1zL3NpbWNsci5weQ==) | `100.00% <0.00%> (ø)` | | | [mmselfsup/models/algorithms/densecl.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL21vZGVscy9hbGdvcml0aG1zL2RlbnNlY2wucHk=) | `100.00% <0.00%> (ø)` | | | [mmselfsup/structures/selfsup\_data\_sample.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL3N0cnVjdHVyZXMvc2VsZnN1cF9kYXRhX3NhbXBsZS5weQ==) | `100.00% <0.00%> (ø)` | | | [...mselfsup/models/target\_generators/hog\_generator.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL21vZGVscy90YXJnZXRfZ2VuZXJhdG9ycy9ob2dfZ2VuZXJhdG9yLnB5) | `95.45% <0.00%> (+0.05%)` | :arrow_up: | | [mmselfsup/datasets/transforms/formatting.py](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=open-mmlab#diff-bW1zZWxmc3VwL2RhdGFzZXRzL3RyYW5zZm9ybXMvZm9ybWF0dGluZy5weQ==) | `95.08% <0.00%> (+0.08%)` | :arrow_up: | | ... and [6 more](https://codecov.io/gh/open-mmlab/mmselfsup/pull/669?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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