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boc/iom/visual_geolocation/__pycache__/geolocation_engine.cpython-39.pyc
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Geolocation Engine
Multi-layer geolocation using evidence from images
é)ÚDictÚListÚOptionalÚTuple)Ú dataclassNc@sBeZdZUdZeed<eed<eed<eed<eed<eed<dS) ÚGeolocationEstimatez$Geolocation estimate with confidenceÚlatÚlngÚaccuracyÚ
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Multi-layer geolocation engine
Methods:
1. GPS (if available)
2. Visual geolocation (landmarks, buildings)
3. Semantic geolocation (signs, text)
4. Geometric geolocation (vanishing points, camera pose)
5. Temporal geolocation (historical matches)
6. Map matching (OpenStreetMap, GIS)
7. Similarity matching (embeddings)
8. Ensemble fusion (combine all)
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Estimate geolocation from evidence package
Returns best estimate with confidence
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_map_matchÚ_similarity_matchÚlenÚ_ensemble_fusionr) rZevidence_packageÚ estimatesZ gps_estimateZvisual_estimateZsemantic_estimateZgeometric_estimateZtemporal_estimateZ map_estimateZsimilarity_estimateZfinal_estimaterrrÚ geolocate*sH













   
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ú z%GeolocationEngine._semantic_geolocatecCsdS)z"Geolocate using geometric featuresNr©rr
rrrr&¼sz&GeolocationEngine._geometric_geolocatecCsdS)z Geolocate using temporal signalsNrr>rrrr'Âsz%GeolocationEngine._temporal_geolocatecCsdS)z&Match against map data (OpenStreetMap)Nrr>rrrr(ÈszGeolocationEngine._map_matchcCsdS)z6Match against historical observations using embeddingsNrr>rrrr)Îsz#GeolocationEngine._similarity_match)r,rc |sdSt|ƒdkr|dStdd|DƒƒˆdkrNdt|ƒgt|ƒ}nfdd|Dƒ}td dt||ƒDƒƒ}td
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