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import json |
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from src import app_logger |
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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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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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import tempfile |
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from samgeo import SamGeo, tms_to_geotiff |
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with tempfile.NamedTemporaryFile(prefix="satellite_", suffix=".tif", dir=root_folder) as image_input_tmp: |
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app_logger.info(f"start tms_to_geotiff using bbox:{bbox}, type:{type(bbox)}, download image to {image_input_tmp.name} ...") |
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for coord in bbox: |
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app_logger.info(f"coord:{coord}, type:{type(coord)}.") |
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tms_to_geotiff(output=image_input_tmp.name, bbox=bbox, zoom=zoom, source="Satellite", overwrite=True) |
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app_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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app_logger.info(f"initialized samgeo instance, start to use SamGeo.set_image({image_input_tmp.name})...") |
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predictor.set_image(image_input_tmp.name) |
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with tempfile.NamedTemporaryFile(prefix="output_", suffix=".tif", dir=root_folder) as image_output_tmp: |
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app_logger.info(f"done set_image, start prediction using {image_output_tmp.name} as output...") |
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predictor.predict(point_coords, point_labels=len(point_coords), point_crs=point_crs, output=image_output_tmp.name) |
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with tempfile.NamedTemporaryFile(prefix="feats_", suffix=".geojson", dir=root_folder) as vector_tmp: |
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app_logger.info(f"done prediction, start conversion SamGeo.tiff_to_geojson({image_output_tmp.name}) => {vector_tmp.name}.") |
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predictor.tiff_to_geojson(image_output_tmp.name, vector_tmp.name, bidx=1) |
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app_logger.info(f"start reading geojson {vector_tmp.name}...") |
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with open(vector_tmp.name) as out_gdf: |
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out_gdf_str = out_gdf.read() |
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out_gdf_json = json.loads(out_gdf_str) |
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app_logger.info(f"geojson {vector_tmp.name} string has length: {len(out_gdf_str)}.") |
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return out_gdf_json |
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