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Releases: denisecailab/minian

v1.2.1

10 Feb 20:05

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Fix

  • avoid syntax error in update_spatial returns

v1.2.0

09 Feb 23:23

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Feat

  • use least square to produce proper scaling in temporal components and background terms

Fix

  • rescale with normalizing factor when using normalize parameter in spatial and temporal update
  • fix unit id mismatch in spatial parameter exploration

v1.1.0

11 Sep 02:30

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Feat

  • baseline fluorescence correction in temporal update with median filter

Fix

  • pin jinja2 version to avoid doc build fail
  • use fft filter for peak-to-noise ratio computation
  • avoid conversion in xrconcat_recursive

v1.0.1

06 May 02:43

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Fix

  • fix various typo and improve instructions in notebook

v1.0.0

03 May 23:01

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Highlight

  • use dask localcluster and throttling for all computations to reduce memory demands
  • add dedicated documentation site
  • add testing and continuous integration
  • release on conda-forge

v1.0.0rc1

30 Apr 21:18

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v1.0.0rc1 Pre-release
Pre-release

Feat

  • graph based resolving of mappings

Fix

  • fix pipeline when subset is used

v1.0.0rc0

11 Apr 22:44

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v1.0.0rc0 Pre-release
Pre-release

Candidate for first public release.

v0.1.1

21 Oct 03:27

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v0.1.1 Pre-release
Pre-release

This is a minor bug-fix release with updated demos.

enhancement

  • Use a chunked version of un-processed miniscope recording as demo movies. Default parameters are calibrated using the new demo movies.

bug fix

  • fix a bug where visualization of initialization will hang: 9f39933
  • fix a bug where rejected unit are saved in g variable and introduce Nan value after alignment: 0fef76f

v0.1.0

19 Oct 03:39
2ad0c82

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v0.1.0 Pre-release
Pre-release

first release at sfn 2019.

features:

  • interactive visualization at all steps.
  • parallel and out-of-core computation support at all steps.