* fix): preserve class_name string dtype on empty Detections.from_inference * test): fix stale float64 dtype expectation in test_process_roboflow_result * docs): document data[class_name] contract in from_inference Returns * fix): set string-dtype class_name on empty from_ultralytics and from_vlm paths * test): strengthen from_inference empty-path dtype test * test): cover SDK .dict() path for empty predictions in from_inference * docs): add docstring to process_roboflow_result * test): use dtype.kind comparison for empty/non-empty class_name * docs): update example in `process_roboflow_result` docstring --------- Co-authored-by: jirka <6035284+Borda@users.noreply.github.com> Co-authored-by: Claude Code <noreply@anthropic.com> |
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| .. | ||
| annotators | ||
| assets | ||
| classification | ||
| dataset | ||
| detection | ||
| draw | ||
| geometry | ||
| key_points | ||
| metrics | ||
| tracker | ||
| utils | ||
| __init__.py | ||
| conftest.py | ||
| helpers.py | ||