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Releases: BiaPyX/BiaPy

Version 3.4.3

15 May 07:32
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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

Version 3.4.2

29 Apr 14:43
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Fix:

  • Downgrade scikit-image version to avoid reloading the kernel in Colab notebooks
  • I2I workflow inference edge case fixed when multiple images in multiple directories where found leading to an infinite loop.

Full Changelog: v3.4.1...v3.4.2

Version 3.4.1

29 Apr 07:13
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Minor:

  • Add BiaPy version into YAML files

Fix:

  • Update pyproject.toml specifiying a few libraries more to not be that restrictive and so BiaPy is smoothly installed in Colab

Full Changelog: v3.4.0...v3.4.1

Version 3.4.0

Version 3.3.15

08 Mar 10:38
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Fix:

  • Preprocessing checking
  • PSNR calculation in I2I and SR workflows

Full Changelog: v3.3.14...v3.3.15

Version 3.3.14

08 Mar 10:37
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New functionality:

  • Add multithread detection

Fix:

  • dense contour creation in 3D
  • Add grid masking to MAE
  • Ensure validation logs prints metric/loss in the same order as with training data
  • Solve problems in recently added Image to Image (I2I) workflow
  • Correct TTA errors produced by recent changes when added multihead models

Full Changelog: v3.3.13...v3.3.14

Version 3.3.13

28 Feb 13:23
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Fix:

  • Fix normalization issue during test image reconstruction in SSL and SR workflows

Full Changelog: v3.3.11...v3.3.12

Version 3.3.12

26 Feb 13:22
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Fix:

  • Fix semantic segmentation multiclass edge error when a batch is compose by just one sample
  • Correct minor error in SSL workflow using masking (MAE) during inference
  • Fix some SR scale problems due to recent changes

Full Changelog: v3.3.11...v3.3.12

Version 3.3.11

26 Feb 08:37
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Fix:

  • Correct few scale problems due to recent changes in SR workflow

Full Changelog: v3.3.10...v3.3.11

Version 3.3.10

25 Feb 18:40
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Fixes:

  • Fix typo in base_workflow.py due to recent changes that crash during inference
  • Convert PROBLEM.SUPER_RESOLUTION.UPSCALING to a tuple to use one per dimension
  • Add TRAIN.OPT_BETAS
  • Change TRAIN.W_DECAY default value to 0.02
  • Fix bug when in DATA.TRAIN.REPLICATE
  • Correct 3D SR workflow

Full Changelog: v3.3.9...v3.3.10