process_roboflow_result appended a mask only for predictions carrying one
(RLE or polygon), while xyxy/confidence/class_id were appended for every
prediction. A result mixing masked and box-only predictions (e.g. a
segmentation batch where one polygon is empty) produced a mask array shorter
than the boxes, so Detections.from_inference raised a shape-mismatch error.
Append None for box-only predictions and build the mask array only when every
prediction has a mask, otherwise drop masks to preserve alignment, mirroring
the tracker_id handling. Fully-masked and mask-free results are unchanged.
- Update `masks` Returns clause to document partial-drop case and corrupt-RLE blast radius (D1+C1)
- Remove stale "known limitation" note from from_inference docstring; describe actual behavior (D2)
- Extract _all_present_or_none() helper; eliminate duplicated partial-drop-warn pattern (S1)
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
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