Add multi-sample detection quality calibration
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Codex
2026-07-07 04:52:10 +02:00
parent 75b4b55ea7
commit 06dfc5f769
10 changed files with 747 additions and 1 deletions
+32
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@@ -171,6 +171,20 @@ Those files are runtime artifacts generated from Digitaal Vlaanderen's
OMWRGBMRVL WMS `Ortho` layer and GRB OGC API Features `GBG` building collection
for a small Geel AOI. They are intentionally not repository fixtures.
To prepare the documented operator samples reproducibly inside the all-in-one
runtime container, run:
```bash
docker exec -it geointel python /app/scripts/prepare_operator_real_data_samples.py --samples geel,mol,turnhout
```
This writes GeoTIFF/GeoJSON pairs and `operator_samples_manifest.json` under
`/app/storage/operator-data` inside the container, which maps to
`storage/operator-data` in the Tower appdata checkout. The helper fetches only
the explicit documented AOIs, records Digitaal Vlaanderen attribution and
reuses existing files by default. Use `--force` only when the local runtime
artifacts should be regenerated.
The real-data smoke is intentionally mutating and refuses to run without
operator-supplied files. Current V1 upload support expects a georeferenced
`.tif`, `.tiff` or `.geotiff` raster and a `.geojson` or `.json` reference
@@ -229,6 +243,24 @@ set. The summary ranks `best_by_score`, `best_by_recall` and
`QualityCheck`/`Metric` evidence rather than visual guesses. It does not create
provider data, use fixtures or download model weights.
Run the same matrix across every prepared operator sample:
```bash
OPERATOR_SAMPLE_MANIFEST_PATH=storage/operator-data/operator_samples_manifest.json \
QUALITY_MODEL_ASSET_IDS="yolov8n-building-segmentation-pt yolov8n-pt" \
QUALITY_TILE_SIZES="512 640" \
QUALITY_TILE_OVERLAPS="64" \
QUALITY_THRESHOLDS="0.50 0.15" \
bash scripts/run_multi_sample_detection_quality_matrix.sh http://192.168.10.150:1202
```
The multi-sample wrapper writes one per-sample `quality_matrix_summary.json`
plus a combined `multi_sample_quality_summary.json` with
`best_overall_by_score`, `best_overall_by_recall`,
`best_overall_by_precision` and `best_by_sample` rankings. It resolves
container-style `/app/storage/...` manifest paths to repo-relative
`storage/...` paths when run from the Tower host checkout.
Export calibration QA evidence for visual review:
```bash