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import json |
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from src.utilities.constants import ROOT |
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from src.utilities.type_hints import input_floatlist, input_floatlist2 |
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from src.utilities.utilities import setup_logging |
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local_logger = setup_logging() |
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def base_predict( |
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bbox: input_floatlist, point_coords: input_floatlist2, point_crs: str = "EPSG:4326", zoom: float = 16, model_name: str = "vit_h", root_folder: str = ROOT |
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) -> str: |
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from samgeo import SamGeo, tms_to_geotiff |
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image = f"{root_folder}/satellite.tif" |
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local_logger.info(f"start tms_to_geotiff using bbox:{bbox}, type:{type(bbox)}.") |
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for coord in bbox: |
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local_logger.info(f"coord:{coord}, type:{type(coord)}.") |
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tms_to_geotiff(output=image, bbox=bbox, zoom=zoom, source="Satellite", overwrite=True) |
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local_logger.info(f"geotiff created, start to initialize samgeo instance (read model {model_name} from {root_folder})...") |
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predictor = SamGeo( |
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model_type=model_name, |
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checkpoint_dir=root_folder, |
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automatic=False, |
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sam_kwargs=None, |
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) |
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local_logger.info(f"initialized samgeo instance, start to set_image {image}...") |
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predictor.set_image(image) |
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output_name = f"{root_folder}/output.tif" |
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local_logger.info(f"done set_image, start prediction...") |
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predictor.predict(point_coords, point_labels=len(point_coords), point_crs=point_crs, output=output_name) |
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local_logger.info(f"done prediction, start tiff to geojson conversion...") |
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vector = f"{root_folder}/feats.geojson" |
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predictor.tiff_to_geojson(output_name, vector, bidx=1) |
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local_logger.info(f"start reading geojson...") |
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with open(vector) as out_gdf: |
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out_gdf_str = json.load(out_gdf) |
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local_logger.info(f"number of fields in geojson output:{len(out_gdf_str)}.") |
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return out_gdf_str |
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