Add real data detection QA workflow smoke
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@@ -352,6 +352,24 @@ Detection GeoJSON output. It does not download weights or inject detector
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fixtures. A zero detection result is still a valid runtime smoke outcome on the
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synthetic demo raster.
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To validate the configured building model on operator-provided GIS data, mount
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or copy a real georeferenced raster and a real reference-building GeoJSON onto
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the runtime host, then run:
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```bash
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REAL_RASTER_PATH=/mnt/user/appdata/geointel/data/orthophoto.tif \
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REAL_REFERENCE_VECTOR_PATH=/mnt/user/appdata/geointel/data/reference-buildings.geojson \
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bash scripts/verify_real_data_detection_qa_workflow.sh http://192.168.10.150:1202
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```
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This smoke refuses missing/unsupported inputs, uploads the raster and reference
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dataset through the normal dataset service, generates raster tiles, selects a
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local model asset, runs configured YOLO detection, compares persisted
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detections against persisted `vector_features`, persists QA/QC rows and exports
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the detection GeoJSON. It never seeds demo detections, enables fixture mode,
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fetches live providers or downloads model weights. Current V1 upload support is
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limited to GeoTIFF-style rasters and GeoJSON/JSON reference vectors.
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### Run backend
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```bash
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