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feat: guide raster building analysis workflow
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2026-07-15 00:19:38 +02:00
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@@ -610,6 +610,19 @@ Response:
Sprint 8 implements Detection Lab foundation only. YOLO/PyTorch real inference is not enabled, no model is downloaded, and fixture detections require explicit fixture mode.
### Guided browser orchestration
The current frontend offers one guided building-analysis action, but does not add a parallel backend workflow endpoint. It deliberately composes the canonical contracts in this order:
1. optional explicit `POST /api/v1/projects/{project_id}/datasets/upload` for a georeferenced GeoTIFF;
2. `POST /api/v1/projects/{project_id}/datasets/{dataset_id}/raster/tile` with 512 px tiles and 64 px overlap;
3. `GET /api/v1/detection/yolo/preflight` with the returned manifest and selected local model asset;
4. `POST /api/v1/detection/run` only after successful preflight;
5. persisted run, Detection list and Detection GeoJSON reads;
6. optional persisted reference QA through the existing detection QA endpoint.
The strict `POST /api/v1/detection/run` contract still requires `tile_manifest_path` for configured YOLO. The frontend does not create fake tiles, bypass tile limits, fetch external imagery or download model weights.
### GET `/api/v1/detection/models`
Returns object-detection model capability descriptors.