Download code/payload2geojson.py from Qdrant/google-landmark-geo: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Qdrant/google-landmark-geo/resolve/main/code/payload2geojson.py
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hf download hf://datasets/Qdrant/google-landmark-geo/code/payload2geojson.py
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curl -L -o payload2geojson.py https://huggingface.co/datasets/Qdrant/google-landmark-geo/resolve/main/code/payload2geojson.py
984 Bytes
| # >>> Feature(geometry=my_point, id=27) # doctest: +ELLIPSIS | |
| # {"geometry": {"coordinates": [-3.68..., 40.4...], "type": "Point"}, "id": 27, "properties": {}, "type": "Feature"} | |
| import json | |
| from decimal import Decimal | |
| import geojson | |
| from geojson import Feature, Point | |
| from qdrant_client.conversions.conversion import payload_to_grpc | |
| geojson_array = [] | |
| # Load the payload JSON | |
| with open("D:\data\google-landmarks\geo-google-landmark-payload.json") as jf: | |
| input_json = json.load(jf) | |
| # Now iterate through and make an array of features | |
| for id, payload in input_json.items(): | |
| lon = float(payload["location"]["lon"]) | |
| lat = float(payload["location"]["lat"]) | |
| my_point = Point((lon, lat)) | |
| geojson_array.append(Feature(geometry=my_point, id=payload["picture"], properties={"url": payload["url"]})) | |
| with open("D:\data\google-landmarks\geo-google-landmark.geojson", "w") as output: | |
| geojson.dump(geojson_array, fp=output) | |
| print("finished") | |