build(deps-dev): bump torchmetrics from 1.3.1 to 1.4.0.post0

[dependabot[bot]]

Bumps torchmetrics from 1.3.1 to 1.4.0.post0.

Release notes

Sourced from torchmetrics's releases.

Minor dependency correction

Full Changelog: https://github.com/Lightning-AI/torchmetrics/compare/v1.4.0...v1.4.0.post0

Metrics for segmentation

In Torchmetrics v1.4, we are happy to introduce a new domain of metrics to the library: segmentation metrics. Segmentation metrics are used to evaluate how well segmentation algorithms are performing, e.g., algorithms that take in an image and pixel-by-pixel decide what kind of object it is. These kind of algorithms are necessary in applications such as self driven cars. Segmentations are closely related to classification metrics, but for now, in Torchmetrics, expect the input to be formatted differently; see the documentation for more info. For now, MeanIoU and GeneralizedDiceScore have been added to the subpackage, with many more to follow in upcoming releases of Torchmetrics. We are happy to receive any feedback on metrics to add in the future or the user interface for the new segmentation metrics.

Torchmetrics v1.3 adds new metrics to the classification and image subpackage and has multiple bug fixes and other quality-of-life improvements. We refer to the changelog for the complete list of changes.

[1.4.0] - 2024-05-03

Added

• Added SensitivityAtSpecificity metric to classification subpackage (#2217)
• Added QualityWithNoReference metric to image subpackage (#2288)
• Added a new segmentation metric:
  • MeanIoU (#1236)
  • GeneralizedDiceScore (#1090)
• Added support for calculating segmentation quality and recognition quality in PanopticQuality metric (#2381)
• Added pretty-errors for improving error prints (#2431)
• Added support for torch.float weighted networks for FID and KID calculations (#2483)
• Added zero_division argument to selected classification metrics (#2198)

Changed

• Made __getattr__ and __setattr__ of ClasswiseWrapper more general (#2424)

Fixed

• Fix getitem for metric collection when prefix/postfix is set (#2430)
• Fixed axis names with Precision-Recall curve (#2462)
• Fixed list synchronization with partly empty lists (#2468)
• Fixed memory leak in metrics using list states (#2492)
• Fixed bug in computation of ERGAS metric (#2498)
• Fixed BootStrapper wrapper not working with kwargs provided argument (#2503)
• Fixed warnings being suppressed in MeanAveragePrecision when requested (#2501)
• Fixed corner-case in binary_average_precision when only negative samples are provided (#2507)

---

Key Contributors

@​baskrahmer, @​Borda, @​ChristophReich1996, @​daniel-code, @​furkan-celik, @​i-aki-y, @​jlcsilva, @​NielsRogge, @​oguz-hanoglu, @​SkafteNicki, @​ywchan2005

New Contributors

• @​eamonn-zh made their first contribution in Lightning-AI/torchmetrics#2345
• @​nsmlzl made their first contribution in Lightning-AI/torchmetrics#2346
• @​fschlatt made their first contribution in Lightning-AI/torchmetrics#2364
• @​JonasVerbickas made their first contribution in Lightning-AI/torchmetrics#2358
• @​AtomicVar made their first contribution in Lightning-AI/torchmetrics#2391

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Note: we move fast, but still we preserve 0.1 version (one feature release) back compatibility.

---

[UnReleased] - 2022-MM-DD

Added

• Added MetricInputTransformer wrapper (#2392)

• Added input_format argument to segmentation metrics (#2572)

• Added better error messages for intersection detection metrics for wrong user input (#2577)

Changed

• Calculate text color of ConfusionMatrix plot based on luminance

Removed

Fixed

• Fixed bug in MetricCollection when using compute groups and compute is called more than once (#2571)

• Fixed class order of panoptic_quality(..., return_per_class=True) output (#2548)

• Fixed BootstrapWrapper not being reset correctly (#2574)

• Fixed integration between ClasswiseWrapper and MetricCollection with custom _filter_kwargs method (#2575)

[1.4.0] - 2024-05-03

Added

... (truncated)

Commits

• 3f11239 correction release 1.4.0.post
• dd5b67e build(deps): update matplotlib requirement from <3.8.0,>=3.3.0 to >=3.3.0,<3....
• 8deefe0 build(deps): update regex requirement from <=2024.4.16,>=2021.9.24 to >=2021....
• 5d707c0 build(deps): bump pytest-xdist from 3.5.0 to 3.6.1 in /requirements (#2537)
• 68f21b7 build(deps): update numpy requirement from <1.25.0 to <1.27.0 in /requirement...
• 1e54cdd build(deps): update scikit-image requirement from ~=0.21 to ~=0.22 in /requir...
• 71c088f build(deps): bump coverage from 7.5.0 to 7.5.1 in /requirements (#2529)
• e5a00a2 build(deps): update pytorch-lightning requirement from <2.0.0,>=1.9.0 to >=1....
• df45079 ci/test: patch unstable test_bleu_score_functional (#2533)
• d44b729 req: move pretty-errors and option for debug extras (#2527)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)