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v3.3.0
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⚡ Performance
size filter skips background chunks, uses the CPUs, reports progress
object tables and the size filter from per-tile sums, with the merge
relations ~13x faster, and not recomputed when written as csv
relate reads each parent once for all its children; bundle only when changed
✅ Tests
two run_multi tests only passed when run as root
path assertions that hold on Windows too
✨ Features
workflow : pixi run multi-slurm --config
plantseg : say who is on the GPU when PlantSeg cannot fit
connectivity for DoG and threshold labelling, matched by the merge
🏗️ Build
pixi : ️ the workflow takes patchworks from GitHub main
🐛 Bug Fixes
pixi : every pixi run failed on the plantseg-careamics solve
workflow : a PlantSeg config run from the default env failed on the GPU
pixi : plantseg environment's Snakemake rejected --slurm-jobname-prefix
workflow : ️ say what seed_labels grows from, loudly when no config makes it
types : mypy rejects ndarray[bool].sum() under numpy 2.5's stubs
workflow : seed_labels accepted nuclei still being segmented
plantseg : tiles failed in PlantSeg's own patch-size search
types : drop an unused type: ignore in the PlantSeg plugin
plantseg : thin z-tiles and 2-plane tiles failed with real PlantSeg
plantseg : depth padding mirrored nuclei into competing seeds
plantseg : PlantSeg's "OOM error will happen" did not shrink the patch
workflow : keep a segment job on the GPU SLURM gave it
workflow : a config failing on a left-over lock says how to unlock
workflow : one run_multi per work_dir
workflow : driver liveness check without /proc (macOS, Windows)
workflow : relations on missing label images fail up front, named
workflow : cupy in the plantseg environment, checked up front
relabel progress reaches 100%; SLURM job logs line-buffered
a position rule's reference table is loaded, and waited for
OME-Zarr conformance: dimension_names, label levels, 0.4 stores
a deleted label image left in the labels list
👷 CI
macOS and Windows jobs are required now that they pass
📝 Documentation
the plantseg environment on a login node without a GPU
workflow : multi.yaml: what relate's cpus are for
👥 Contributors
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