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Releases: Borda/pyBPDL

cleaning and fix Docs

28 Oct 18:18
5479ac1
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Generated docs and meantime package updates...

Main changes

  • add read-the-doc & generating docs
  • use pyImSegm & remove duplicated func
  • update docstrings
  • update CI

general update

22 Apr 17:35
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Minor package enhancements and updating of BPDL & experiments.

Some minor changes:

  • add ipynb - user gene labels & fuzzy activation function
  • rename nb_jobs -> nb_workers
  • move configs JSON -> YAML
  • simplify parallel expts
  • formating pep8
  • fix NonDeamonPool
  • update CI

fuzzy & deform patterns

22 Apr 11:29
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Pre-release

This is functionality extension and some mean time update/bug fixing. Extending the implementation by generalizing inputs - fuzzy segmentation instead binary and compensating the internal deformation by simple registration.

Main features:

  • extension for fuzzy inputs
  • deformation via daemon registration
  • minor bug fixing & enhancements
  • meantime refactoring & code cleaning
  • adding SoA methods - CanICA, MSDL

Initial release

22 Apr 09:49
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Initial release Pre-release
Pre-release

An initial release of Binary pattern Dictionary Learning (BPDL) together with a comparison with State-of-the-Art decomposition methods applied to image domain. The project also includes useful tools for dataset handling and around real microscopy images.

Main features:

  • implementation of BPDL package
  • experimental setting & synthetic dataset
  • comparison with NMF, SPCS, ICA, etc.
  • visualisations and notebook samples

Note, this is a Phoenix version, the original v0.1 was published at CTU
see: https://gitlab.fel.cvut.cz/biomedical-imaging-algorithms/APDL