290 as default resources monitoring - #292
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guillaume-byte merged 4 commits intoAug 14, 2026
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Background daemon thread, started alongside the watchdog in grpc_serve(), samples system and process resource usage on a wall-clock interval and logs each metric through the existing signal pipeline so it shows up in Weights Studio like any other loss/metric curve. GPU metrics use NVML (nvidia-ml-py) and degrade gracefully with no NVIDIA driver present. Enabled by default; configurable/disableable via env vars or a new resource_monitoring.yaml (per-category toggles), documented in docs/resource_monitoring.rst and docs/configuration.rst. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
New weightslab.export package collects bounding boxes and segmentation
masks (converted to polygons via OpenCV, optional weightslab[export]
extra) from the registered dataframe into a format-agnostic
representation, then encodes it to one of three relabeling-tool formats.
Bounding-box export needs no extra dependency.
Wired through three equally-weighted entry points sharing the same core
logic:
- Python API: wl.export_annotations(fmt, path=None, origin=None, ...)
- CLI: `weightslab export --format {cvat,label_studio,v7} [OUTPUT]`,
connecting over gRPC like `weightslab cli`
- gRPC: new ExportAnnotations RPC (experiment_service.proto), delegated
to DataService -- this backs the Weights Studio "Export" button
(frontend change tracked separately in weights_studio)
Class names and image paths/dimensions have no dedicated registry in the
current data model, so both are resolved best-effort (explicit override,
then dataset.class_names / common path attributes, then a synthetic
filename) -- documented explicitly in docs/export.rst so silent
mismatches aren't a surprise.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
…-as-default-resources-monitoring
guillaume-byte
merged commit Aug 14, 2026
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288-data-tags-export-to-labelling-integration
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Mix of resources monitoring and data export with tags feature.