class documentation

Undocumented

Method export Convert the prepared dataset into the exporter's format.
Method get_split_names Undocumented
Method supported_ann_types Return task types supported by this exporter.
Method _dump_annotations Undocumented
Method _get_data_path Return the folder path to store data files for this split.

Inherited from BaseExporter:

Method __init__ Undocumented
Instance Variable current_size Current partition size in bytes.
Instance Variable dataset_identifier Name or identifier used for exported paths.
Instance Variable image_indices Per-image export indices used by concrete exporters.
Instance Variable max_partition_size Optional maximum partition size in bytes.
Instance Variable max_partition_size_gb Optional maximum partition size in GiB.
Instance Variable output_path Directory where the export is written.
Instance Variable part Current partition index, or None when partitioning is disabled.
def export(self, prepared_ldf: PreparedLDF):

Convert the prepared dataset into the exporter's format.

Parameters
prepared_ldf:PreparedLDFDataset data prepared for export.
Raises
NotImplementedErrorAlways raised by the abstract base implementation.
def get_split_names(self) -> dict[str, str]:

Undocumented

def supported_ann_types(self) -> list[str]:

Return task types supported by this exporter.

Returns
list[str]Supported annotation task types.
Raises
NotImplementedErrorAlways raised by the abstract base implementation.
def _dump_annotations(self, annotation_splits: dict[str, dict[str, Any]], output_path: Path, part: int | None = None):
def _get_data_path(self, output_path: Path, split: str, part: int | None = None) -> Path:

Return the folder path to store data files for this split.