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Recent Releases of https://github.com/bmcv/superdsm

https://github.com/bmcv/superdsm - v0.4.0

What's Changed

  • Remove clutter from the dsm.Energy class in https://github.com/BMCV/SuperDSM/pull/17
  • Remove dsm.Energy.w attribute in https://github.com/BMCV/SuperDSM/pull/19
  • Bump minimum Python from 3.8 to 3.11 by in https://github.com/BMCV/SuperDSM/pull/20
  • Migrate to repype, task files are now YAML instead of JSON, in https://github.com/BMCV/SuperDSM/pull/21
  • Update to v0.4.0 in https://github.com/BMCV/SuperDSM/pull/26

Full Changelog: https://github.com/BMCV/SuperDSM/compare/v0.3.0...v0.4.0

- Python
Published by kostrykin over 1 year ago

https://github.com/bmcv/superdsm - v0.3.0

What's Changed

  • Add SUPERDSM_NUM_CPUS environment variable by @kostrykin in https://github.com/BMCV/SuperDSM/pull/6
    • Only for batch processing, defaults to 2
    • The num_cpus setting in task files is no longer supported
  • Section about environment variables have been added to the docs: https://superdsm.readthedocs.io/en/latest/usage.html#environment-variables
  • Update superdsm.io module by @kostrykin in https://github.com/BMCV/SuperDSM/pull/10
    • Rename io.imwrite to io.imsave for consistency with other modules
    • Add force_filetype argument for io.imread
  • Bump cvxopt from 1.2.6 to 1.2.7 by @dependabot in https://github.com/BMCV/SuperDSM/pull/3

New Contributors

  • @dependabot made their first contribution in https://github.com/BMCV/SuperDSM/pull/3

Full Changelog: https://github.com/BMCV/SuperDSM/compare/v0.2.0...v0.3.0

- Python
Published by kostrykin almost 2 years ago

https://github.com/bmcv/superdsm - ISBI 2024 Release (v0.2.0)

What's Changed

  • Add the implementation of the pruning method described in Kostrykin and Rohr (ISBI 2024).
  • Add the option global-energy-minimization/pruning (see the docs).
  • Add examples for reproduction of the results reported in the paper.
  • Remove the option global-energy-minimization/strict

Full Changelog: https://github.com/BMCV/SuperDSM/compare/v0.1.3...v0.2.0

Literature

L. Kostrykin and K. Rohr, "Robust Graph Pruning for Efficient Segmentation and Cluster Splitting of Cell Nuclei using Deformable Shape Models," accepted for presentation at IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, May 27–30, 2024.

- Python
Published by kostrykin over 2 years ago