datumaro.plugins.data_formats.kaggle.base#
Classes
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- class datumaro.plugins.data_formats.kaggle.base.KaggleImageCsvBase(path: str, ann_file: str, columns: Dict[str, str], *, subset: str | None = 'default', ctx: ImportContext | None = None)[source]#
Bases:
DatasetBase
- class datumaro.plugins.data_formats.kaggle.base.KaggleImageTxtBase(path: str, ann_file: str, columns: Dict[str, int], *, subset: str | None = 'default', ctx: ImportContext | None = None)[source]#
Bases:
KaggleImageCsvBase
- class datumaro.plugins.data_formats.kaggle.base.KaggleImageMaskBase(path: str, mask_path: str, labelmap_file: str | None = None, *, subset: str | None = 'default', ctx: ImportContext | None = None)[source]#
Bases:
DatasetBase
- class datumaro.plugins.data_formats.kaggle.base.KaggleVocBase(path: str, ann_path: str, *, subset: str | None = None, ctx: ImportContext | None = None)[source]#
Bases:
SubsetBase
- ann_extensions = '.xml'#
- class datumaro.plugins.data_formats.kaggle.base.KaggleYoloBase(path: str, ann_path: str, *, subset: str | None = None, ctx: ImportContext | None = None)[source]#
Bases:
KaggleVocBase
,SubsetBase
- ann_extensions = '.txt'#
- class datumaro.plugins.data_formats.kaggle.base.KaggleCocoBase(path: str, ann_file: str, *, subset: str | None = None, ctx: ImportContext | None = None, stream: bool = False)[source]#
Bases:
CocoInstancesBase
,SubsetBase