# solo_parser Python API: `luxonis_ml.data.parsers.solo_parser` ## Classes ### SOLOParser Parse a directory with SOLO annotations into LDF. Expected format: ```text dataset_dir/ ├── train/ │ ├── metadata.json │ ├── sensor_definitions.json │ ├── annotation_definitions.json │ ├── metric_definitions.json │ └── sequence./ │ ├── step.camera.jpg │ ├── step.frame_data.json │ └── (OPTIONAL: step.camera.semantic segmentation.jpg) ├── valid/ └── test/ ``` This is the default format returned by Unity simulation engine. #### Methods ##### from_dir ```python def from_dir(dataset_dir: Path) -> tuple[list[Path], list[Path], list[Path]]: ``` Parse all SOLO data in a source dataset directory. Parameters * `dataset_dir` (`Path`): Source dataset directory. Returns * `tuple[list[Path], list[Path], list[Path]]`: Added images for the train, validation, and test splits. ##### from_split ```python def from_split(split_path: Path) -> ParserOutput: ``` Parse one SOLO split into LDF records. Parameters * `split_path` (`Path`): Directory with SOLO sequences and annotations. Returns * `ParserOutput`: Parser output containing annotation records, skeleton metadata, and added images. Raises * `FileNotFoundError`: If the split directory, annotation definitions file, referenced image, or referenced mask does not exist. * `ValueError`: If no bounding-box class names can be identified from `annotation_definitions.json`. ##### validate_split ```python def validate_split(split_path: Path) -> dict[str, Any] | None: ``` Validate whether a split directory has the expected SOLO format. Parameters * `split_path` (`Path`): Path to a split directory. Returns * `dict[str, Any] | None`: Keyword arguments for `from_split`, or `None` if the split is not in the expected format.