feat: napari auto-loads in-store labels + single-GPU dashboard - #17
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When labels= is omitted and the image is a .zarr, overlay every label image registered under labels/<name>/ (where tile_process writes them by default) as its own multi-scale Labels layer. So view_in_napari( "scan.zarr") just shows image + segmentation. Docs the Imaris-pyramid rebuild behaviour too. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
On a GPU run with no existing client, start a 1-worker/1-thread in-process LocalCluster: GPU evals stay serial (no VRAM contention) but a Dask dashboard is exposed and its URL logged, so progress is visible. Falls back to the threaded scheduler if distributed/bokeh are absent; a user-provided cluster is used as-is. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Two UX/observability features, docs updated alongside each.
napari auto-loads labels
view_in_napari("scan.zarr")— with nolabels=— now auto-overlays every label image registered underscan.zarr/labels/<name>/(wheretile_processwrites them by default), each as its own multi-scale Labels layer. Falls back to image-only if there are none.Live dashboard on a single GPU
A GPU run (no existing client) starts a 1-worker/1-thread in-process
LocalCluster: evals stay serial (no VRAM contention) but a Dask dashboard is exposed and its URL logged, so you can watch tiles stream through. Graceful fallback to the threaded scheduler ifdistributed/bokeharen't installed; a user cluster is used as-is.Docs: napari guide (auto-load + Imaris-pyramid-rebuild note), performance guide (dashboard section). Tests: label discovery + resolution. 29 passed, ruff + mkdocs --strict clean.
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