Open source Python library for building bioimage analysis pipelines
MIT License
Published by danifranco 5 months ago
Published by danifranco 5 months ago
Major:
Minor:
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.4.3...v3.4.4
Published by danifranco 6 months ago
Minor:
TEST.POST_PROCESSING.REPARE_LARGE_BLOBS_SIZE
usage to instance segmentation workflow and BP
channels.unetr
and multiresunet
models.AUGMENTOR.AFFINE_MODE
to reflect
by default.Bug fixes:
DATA.PROBABILITY_MAP
.TEST.POST_PROCESSING.CLEAR_BORDER
remove all instances in 2D.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.C
is not the last channel using Zarr inferenceFull Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.4.2...v3.4.3
Published by danifranco 6 months ago
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.4.1...v3.4.2
Published by danifranco 6 months ago
Minor:
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.4.0...v3.4.1
Published by danifranco 6 months ago
Major:
Minor:
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.14...v3.4.0
Published by danifranco 8 months ago
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.14...v3.3.15
Published by danifranco 8 months ago
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.13...v3.3.14
Published by danifranco 8 months ago
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.11...v3.3.12
Published by danifranco 8 months ago
Fix:
masking
(MAE) during inferenceFull Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.11...v3.3.12
Published by danifranco 8 months ago
Fix:
Full Changelog: https://github.com/BiaPyX/BiaPy/compare/v3.3.10...v3.3.11
Published by danifranco 8 months ago
Published by danifranco 8 months ago
Quick patch:
Published by danifranco 8 months ago
Published by danifranco 8 months ago
Published by danifranco 8 months ago
Changes:
AUGMENTOR.RANDOM_ROT
and AUGMENTOR.ROT90
now are implemented in BiaPy and not done through imgaug.TRAIN.VERBOSE
to visualize more or less info during each batch process printFixes:
TEST.BY_CHUNKS
.MODEL.SOURCE
== biapy
) so they can be converted into TorchScript via torch.jit.script()
to create BMZ package.PROBLEM.SUPER_RESOLUTION.UPSCALING
factor and allow MODEL.Z_DOWN
in super-resolution workflowPublished by danifranco 9 months ago
Fix patch:
PROBLEM.NUM_CPUS
to PROBLEM.NUM_WORKERS
to clarify its usage.Published by danifranco 9 months ago
Changes:
TEST.DET_EXCLUDE_BORDER
to False
by default.TEST.DET_PEAK_LOCAL_MAX_MIN_DISTANCE
.TEST.ANALIZE_2D_IMGS_AS_3D_STACK
.PROBLEM.INSTANCE_SEG.WATERSHED_BY_2D_SLICE
.Fix:
Published by danifranco 9 months ago
Fixes:
DATA.PREPROCESS.*.ACTIVATE
to DATA.PREPROCESS.*.ENABLE
as the rest of the variables.TEST.STATS
and leave only FULL_IMG
to be optional.TEST.FULL_IMG
to False
by default.