otx.core.data.adapter.classification_dataset_adapter#
Classification Dataset Adapter.
Classes
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Classification adapter inherited from BaseDatasetAdapter. |
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SelfSLClassification adapter inherited from ClassificationDatasetAdapter. |
- class otx.core.data.adapter.classification_dataset_adapter.ClassificationDatasetAdapter(task_type: TaskType, train_data_roots: str | None = None, train_ann_files: str | None = None, val_data_roots: str | None = None, val_ann_files: str | None = None, test_data_roots: str | None = None, test_ann_files: str | None = None, unlabeled_data_roots: str | None = None, unlabeled_file_list: str | None = None, cache_config: Dict[str, Any] | None = None, encryption_key: str | None = None, **kwargs)[source]#
Bases:
BaseDatasetAdapter
Classification adapter inherited from BaseDatasetAdapter.
It converts DatumaroDataset -> DatasetEntity for multi-class, multi-label, and hierarchical-label classification tasks
- get_label_schema() LabelSchemaEntity [source]#
Get Label Schema.
- get_otx_dataset() DatasetEntity [source]#
Convert DatumaroDataset to DatasetEntity for Classification.
- class otx.core.data.adapter.classification_dataset_adapter.SelfSLClassificationDatasetAdapter(task_type: TaskType, train_data_roots: str | None = None, train_ann_files: str | None = None, val_data_roots: str | None = None, val_ann_files: str | None = None, test_data_roots: str | None = None, test_ann_files: str | None = None, unlabeled_data_roots: str | None = None, unlabeled_file_list: str | None = None, cache_config: Dict[str, Any] | None = None, encryption_key: str | None = None, **kwargs)[source]#
Bases:
ClassificationDatasetAdapter
SelfSLClassification adapter inherited from ClassificationDatasetAdapter.
It creates fake annotations to work with DatumaroDataset w/o labels and converts it to DatasetEntity for Self-SL classification pretraining
- get_otx_dataset() DatasetEntity [source]#
Convert DatumaroDataset to DatasetEntity for Self-SL Classification.