codecov-commenter
commented
2 years ago Codecov Report
Base: 79.67% // Head: 79.57% // Decreases project coverage by -0.09% :warning:
Coverage data is based on head (
ce61c2e) compared to base (bfb7439). Patch coverage: 75.55% of modified lines in pull request are covered.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## master #106 +/- ## ========================================== - Coverage 79.67% 79.57% -0.10% ========================================== Files 24 24 Lines 1048 1092 +44 Branches 151 158 +7 ========================================== + Hits 835 869 +34 - Misses 176 183 +7 - Partials 37 40 +3 ``` | Flag | Coverage Δ | | |---|---|---| | unittests | `79.57% <75.55%> (-0.10%)` | :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=ViCCo-Group#carryforward-flags-in-the-pull-request-comment) to find out more. | [Impacted Files](https://codecov.io/gh/ViCCo-Group/thingsvision/pull/106?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ViCCo-Group) | Coverage Δ | | |---|---|---| | [thingsvision/core/extraction/helpers.py](https://codecov.io/gh/ViCCo-Group/thingsvision/pull/106/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ViCCo-Group#diff-dGhpbmdzdmlzaW9uL2NvcmUvZXh0cmFjdGlvbi9oZWxwZXJzLnB5) | `72.52% <66.66%> (+0.61%)` | :arrow_up: | | [thingsvision/core/extraction/extractor.py](https://codecov.io/gh/ViCCo-Group/thingsvision/pull/106/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ViCCo-Group#diff-dGhpbmdzdmlzaW9uL2NvcmUvZXh0cmFjdGlvbi9leHRyYWN0b3IucHk=) | `79.82% <76.19%> (-2.12%)` | :arrow_down: | 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=ViCCo-Group). 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=ViCCo-Group):umbrella: View full report at Codecov.
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LukasMut
Addresses Issue #85
Creates the new VisslExtractor which downloads models from the VISSL library and converts them to torchvision models.
adds models from the VISSL library which are based on the ResNet50 architecture
Available models:
simclr-rn50,mocov2-rn50,jigsaw-rn50,rotnet-rn50,swav-rn50,pirl-rn50add these models to the tests
More models with also different architectures will be added in the future.