Source code for src.FRAME_FM.datasets.topsoil_dataset

from pathlib import Path

from FRAME_FM.datasets.base_shapefile_dataset import BaseShapefileDataset

[docs] SAMPLE_TOPSOIL_CARBON_DATA_URI = "/gws/ssde/j25b/eds_ai/frame-fm/data/inputs/model_estimates_of_topsoil_carbon/data"
[docs] SAMPLE_TOPSOIL_PROPERTIES_DATA_URI = "/gws/ssde/j25b/eds_ai/frame-fm/data/inputs/model_estimates_of_topsoil_pH_and_bulk_density/properties"
[docs] class TopsoilDataset(BaseShapefileDataset): """ A dataset class for loading the Topsoil datasets for gridded time series forecasting tasks. This class inherits from the BaseShapefileDataset and can be extended with Topsoil dataset-specific loading or preprocessing logic if needed. """ def __init__(self, data_uri: str | Path | list | tuple, transforms: list | None = None, override_transforms: bool = False ): super().__init__( data_uri=data_uri, transforms=transforms, override_transforms=override_transforms )
if __name__ == "__main__":
[docs] dataset = TopsoilDataset( data_uri=SAMPLE_TOPSOIL_CARBON_DATA_URI )
print(f"Dataset length: {len(dataset)}") sample = dataset[0] print(sample.shape) print("----------------------------------") dataset = TopsoilDataset( data_uri=SAMPLE_TOPSOIL_PROPERTIES_DATA_URI ) print(f"Dataset length: {len(dataset)}") sample = dataset[0] print(sample.shape)