Skip to content

Shape metric

Compare
Choose a tag to compare
@Borda Borda released this 18 Oct 19:35
· 53 commits to master since this release

Shape metrics are quantitative methods used to assess and compare the geometric properties of objects, often in datasets that represent shapes. One such metric is the Procrustes Disparity, which measures the sum of the squared differences between two datasets after applying a Procrustes transformation. This transformation involves scaling, rotating, and translating the datasets to achieve optimal alignment. The Procrustes Disparity is particularly useful when comparing datasets that are similar in structure but not perfectly aligned, allowing for more meaningful comparison by minimizing differences due to orientation or size.

[1.5.0] - 2024-10-18

Added

  • Added segmentation metric HausdorffDistance (#2122)
  • Added audio metric DNSMOS (#2525)
  • Added shape metric ProcrustesDistance (#2723)
  • Added MetricInputTransformer wrapper (#2392)
  • Added input_format argument to segmentation metrics (#2572)
  • Added multi-output support for MAE metric (#2605)
  • Added truncation argument to BERTScore (#2776)

Changed

  • Tracker higher is better integration (#2649)
  • Updated InfoLM class to dynamically set higher_is_better (#2674)

Deprecated

  • Deprecated num_outputs in R2Score (#2705)

Fixed

  • Fixed corner case in IoU metric for single empty prediction tensors (#2780)
  • Fixed PSNR calculation for integer type input images (#2788)

Key Contributors

@Astraightrain, @grahamannett, @lgienapp, @matsumotosan, @quancs, @SkafteNicki

New Contributors since 1.4.0

Full Changelog: v1.4.0...v1.5.0