Add operator YOLO tile dataset exporter
This commit is contained in:
@@ -7,6 +7,14 @@
|
||||
|
||||
# Changelog
|
||||
|
||||
## Sprint 130 Operator YOLO tile-level dataset tooling (2026-07-07)
|
||||
|
||||
- Added `scripts/export_operator_yolo_tile_dataset.py` to convert prepared operator samples into overlapping YOLO tile datasets with clipped building labels and deterministic negative tile retention.
|
||||
- Added readiness coverage for the tile exporter Python compile check.
|
||||
- Added regression coverage in `backend/tests/test_sprint130_operator_yolo_tile_dataset.py` for script contract, help behavior without GIS imports, edge-covering tile windows and deterministic negative-tile selection.
|
||||
- Updated operator documentation for tile-level dataset export and reuse of the existing local training wrapper.
|
||||
- No Training Studio UI, API contract change, provider fetching, model auto-provisioning or app-side model training behavior was introduced.
|
||||
|
||||
## Sprint 129 Operator YOLO training dataset tooling (2026-07-07)
|
||||
|
||||
- Added `scripts/export_operator_yolo_dataset.py` to convert prepared operator orthophoto/GRB sample pairs into a standard local YOLO detection dataset with `dataset.yaml`, train/validation image folders, label folders and `yolo_dataset_summary.json`.
|
||||
|
||||
Reference in New Issue
Block a user