Bump torchmetrics from 0.9.2 to 1.1.1

[dependabot]

Bumps torchmetrics from 0.9.2 to 1.1.1.

Release notes

Sourced from torchmetrics's releases.

Weekly patch release

[1.1.1] - 2023-08-29

Added

• Added average argument to MeanAveragePrecision (#2018)

Fixed

• Fixed bug in PearsonCorrCoef is updated on single samples at a time (#2019)
• Fixed support for pixel-wise MSE (#2017)
• Fixed bug in MetricCollection when used with multiple metrics that return dicts with same keys (#2027)
• Fixed bug in detection intersection metrics when class_metrics=True resulting in wrong values (#1924)
• Fixed missing attributes higher_is_better, is_differentiable for some metrics (#2028)

Contributors

@​adamjstewart, @​SkafteNicki

If we forgot someone due to not matching commit email with GitHub account, let us know :]

Into Generative AI

In version v1.1 of Torchmetrics, in total five new metrics have been added, bringing the total number of metrics up to 128! In particular, we have two new exciting metrics for evaluating your favorite generative models for images.

Perceptual Path length

Introduced in the famous StyleGAN paper back in 2018 the Perceptual path length metric is used to quantify how smoothly a generator manages to interpolate between points in its latent space. Why does the smoothness of the latent space of your generative model matter? Assume you find an image at some point in your latent space that generates an image you like, but you would like to see if you could find a better one if you slightly change the latent point it was generated from. If your latent space could be smoother, this because very hard because even small changes to the latent point can lead to large changes in the generated image.

CLIP image quality assessment

CLIP image quality assessment (CLIPIQA) is a very recently proposed metric in this paper. The metrics build on the OpenAI CLIP model, which is a multi-modal model for connecting text and images. The core idea behind the metric is that different properties of an image can be assessed by measuring how similar the CLIP embedding of the image is to the respective CLIP embedding of a positive and negative prompt for that given property.

VIF, Edit, and SA-SDR

• VisualInformationFidelity has been added to the image package. The first proposed in this paper can be used to automatically assess the quality of images in a perceptual manner.

• EditDistance have been added to the text package. A very classical metric for text that simply measures the amount of characters that need to be substituted, inserted, or deleted, to transform the predicted text into the reference text.

• SourceAggregatedSignalDistortionRatio has been added to the audio package. Metric was originally proposed in this paper and is an improvement over the classical Signal-to-Distortion Ratio (SDR) metric (also found in torchmetrics) that provides more stable gradients during training when trying to train models for style source separation.

[1.1.0] - 2022-08-22

Added

• Added source aggregated signal-to-distortion ratio (SA-SDR) metric (#1882
• Added VisualInformationFidelity to image package (#1830)
• Added EditDistance to text package (#1906)
• Added top_k argument to RetrievalMRR in retrieval package (#1961)
• Added support for evaluating "segm" and "bbox" detection in MeanAveragePrecision at the same time (#1928)

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.1.1] - 2023-08-29

Added

• Added average argument to MeanAveragePrecision (#2018

Fixed

• Fixed bug in PearsonCorrCoef is updated on single samples at a time (#2019)
• Fixed support for pixel-wise MSE (#2017)
• Fixed bug in MetricCollection when used with multiple metrics that return dicts with same keys (#2027)
• Fixed bug in detection intersection metrics when class_metrics=True resulting in wrong values (#1924)
• Fixed missing attributes higher_is_better, is_differentiable for some metrics (#2028)

[1.1.0] - 2023-08-22

Added

• Added source aggregated signal-to-distortion ratio (SA-SDR) metric (#1882
• Added VisualInformationFidelity to image package (#1830)
• Added EditDistance to text package (#1906)
• Added top_k argument to RetrievalMRR in retrieval package (#1961)
• Added support for evaluating "segm" and "bbox" detection in MeanAveragePrecision at the same time (#1928)
• Added PerceptualPathLength to image package (#1939)
• Added support for multioutput evaluation in MeanSquaredError (#1937)
• Added argument extended_summary to MeanAveragePrecision such that precision, recall, iou can be easily returned (#1983)
• Added warning to ClipScore if long captions are detected and truncate (#2001)
• Added CLIPImageQualityAssessment to multimodal package (#1931)
• Added new property metric_state to all metrics for users to investigate currently stored tensors in memory (#2006)

[1.0.3] - 2023-08-08

Added

• Added warning to MeanAveragePrecision if too many detections are observed (#1978)

Fixed

• Fix support for int input for when multidim_average="samplewise" in classification metrics (#1977)
• Fixed x/y labels when plotting confusion matrices (#1976)
• Fixed IOU compute in cuda (#1982)

[1.0.2] - 2023-08-02

Added

• Added warning to PearsonCorrCoeff if input has a very small variance for its given dtype (#1926)

... (truncated)

Commits

• b57bb6d releasing 1.1.1
• 53c65d5 Fix MetricCollection when input are metrics that return dicts with same key...
• 379e13f Add argument average to MeanAveragePrecision (#2018)
• 284205f Fix classwise computation in IoU metric (#1924)
• 1525a28 Fix missing attributes in some metric (#2028)
• 9f4a7f6 drop packaging (#2023)
• 5ed0f83 docs: update logos (#2021)
• 96b9439 Fix single update in pearson corrcoef (#2019)
• 42c748b Fix support for pixelwise MSE (#2017)
• f6760b5 rolling next dev & chlog sec.
• Additional commits viewable in compare view

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