ENSTA-U2IS-AI / torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
https://torch-uncertainty.github.io
Apache License 2.0
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:sparkles: Add LPBNN, Adaptive ECE, start supporting Depth estimation & Improve segmentation #93

Closed o-laurent closed 6 months ago

o-laurent commented 7 months ago

To do:

Closes #83 & #89

codecov[bot] commented 6 months ago

Codecov Report

Attention: Patch coverage is 95.64823% with 48 lines in your changes are missing coverage. Please review.

Project coverage is 98.51%. Comparing base (b13fb0f) to head (d22221c). Report is 3 commits behind head on main.

Files Patch % Lines
torch_uncertainty/routines/pixel_regression.py 64.92% 36 Missing and 11 partials :warning:
torch_uncertainty/layers/bayesian/lpbnn.py 99.25% 0 Missing and 1 partial :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #93 +/- ## ========================================== - Coverage 99.02% 98.51% -0.51% ========================================== Files 107 119 +12 Lines 5018 5742 +724 Branches 679 764 +85 ========================================== + Hits 4969 5657 +688 - Misses 17 45 +28 - Partials 32 40 +8 ``` | [Flag](https://app.codecov.io/gh/ENSTA-U2IS-AI/torch-uncertainty/pull/93/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ENSTA-U2IS-AI) | Coverage Δ | | |---|---|---| | [cpu](https://app.codecov.io/gh/ENSTA-U2IS-AI/torch-uncertainty/pull/93/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ENSTA-U2IS-AI) | `98.51% <95.64%> (-0.51%)` | :arrow_down: | | [pytest](https://app.codecov.io/gh/ENSTA-U2IS-AI/torch-uncertainty/pull/93/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=ENSTA-U2IS-AI) | `98.51% <95.64%> (-0.51%)` | :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=ENSTA-U2IS-AI#carryforward-flags-in-the-pull-request-comment) to find out more.

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