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Version 3.4.3
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@danifranco danifranco released this 15 May 07:32
· 327 commits to master since this release
v3.4.3
a3702fd

Minor:

  • Improve the messaging of some errors to make them more comprehensible for the end user.
  • Restrict TEST.POST_PROCESSING.REPARE_LARGE_BLOBS_SIZE usage to instance segmentation workflow and BP channels.
  • Allow detection and denoising workflows use unetr and multiresunet models.
  • Change affine AUGMENTOR.AFFINE_MODE to reflect by default.
  • Now the grid in the aumented samples saved take into account the image size to alway create 5x5 grid.
  • Adapt MAE's grid mask to be operative in 3D.

Bug fixes:

  • 3D stack metric values.
  • Fix errors in DATA.PROBABILITY_MAP.
  • Prevent TEST.POST_PROCESSING.CLEAR_BORDER remove all instances in 2D.
  • Fix minor bugs during some of the instance segmentation post-processing due image shape mismatch.
  • Now TEST.POST_PROCESSING.CLEAR_BORDER and TEST.POST_PROCESSING.VORONOI_ON_MASK are above TEST.POST_PROCESSING.MEASURE_PROPERTIES.REMOVE_BY_PROPERTIES so the instances can be repaired before filtering and stats.
  • Minor bugs in detection watershed
  • Fix bug during detection mask creation for Zarr images with more than one channel
  • Fix process_sample_by_chunks() function call in multi-gpu setting due to recent changes
  • Fix errors in percentile clipping
  • Avoid stuck processes to jump into inference phase in multi-gpu configuration when setting patience during training
  • Fix cross-validation errors: 1) when using it in SR workflow due to its upsampling ; 2) in classification
  • Fix bug in grid masking using mae in SSL workflow
  • Add preprocessing function into classification
  • Minor bug when C is not the last channel using Zarr inference

Full Changelog: v3.4.2...v3.4.3

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