Surface YOLO preflight in Detection Lab
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@@ -636,6 +636,52 @@ Returns object-detection model capability descriptors.
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}
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```
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### GET `/api/v1/detection/yolo/preflight`
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Returns a canonical envelope with read-only configured-YOLO runtime preflight
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state. Optional query parameters:
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- `tile_manifest_path`: existing raster tile manifest path to validate.
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- `check_model_load`: default `false`; when `true`, explicitly loads only the
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configured local model file for compatibility smoke. It never downloads
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weights and never runs inference.
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Response data:
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```json
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{
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"model_id": "yolo-configured",
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"model_path": null,
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"tile_manifest_path": null,
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"status": "not_configured",
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"message": "YOLO_MODEL_PATH is not set. GeoIntel will not download model weights automatically.",
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"checks": {
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"enabled": true,
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"dependencies_available": true,
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"model_path_set": false,
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"model_file_exists": null,
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"model_load_requested": false,
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"model_load_ok": null,
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"manifest_path_set": null,
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"manifest_valid": null,
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"tile_paths_exist": null,
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"tile_limit_ok": null
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},
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"runtime": {
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"dependencies_assumed": false,
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"model_directory": null,
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"yolo_config_dir": "/app/storage/ultralytics",
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"torch_version": "2.12.1",
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"ultralytics_version": "8.4.88",
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"cuda_available": false
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},
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"tile_count": 0,
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"max_tiles": 100,
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"will_download_models": false,
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"will_run_inference": false
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}
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```
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### POST `/api/v1/detection/run`
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Creates a detection job and detection analysis run. If the requested model is unavailable, the job and analysis run are marked `failed` with `DETECTION_MODEL_UNAVAILABLE` or `DETECTION_DEPENDENCY_UNAVAILABLE`.
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