datumaro.plugins.configurable_validator#

Classes

`ClsStats`(label_categories, warnings, ...)
`ClsStatsData`(categories, ...)
`ConfigurableValidator`(tasks, ...[, ...])
`DetStats`(label_categories, warnings, ...)
`DetStatsData`(categories, ...)
`SegStats`(label_categories, warnings, ...)
`SegStatsData`(categories, ...)
`StatsData`(categories, undefined_attribute, ...)
`TblStats`(categories, warnings, ...)
`TblStatsData`(categories, empty_label, ...)

class datumaro.plugins.configurable_validator.StatsData(categories: Dict[str, Dict[str, Set[str]]], undefined_attribute: Set[Tuple[str, str, str]], undefined_label: Set[Tuple[str, str, str]], missing_attribute: Set[Tuple[str, str, str, str]], missing_label: Set[Tuple[str, str]])[source]#

Bases: object

categories: Dict[str, Dict[str, Set[str]]]#

undefined_attribute: Set[Tuple[str, str, str]]#

undefined_label: Set[Tuple[str, str, str]]#

missing_attribute: Set[Tuple[str, str, str, str]]#

missing_label: Set[Tuple[str, str]]#

class datumaro.plugins.configurable_validator.ClsStatsData(categories: Dict[str, Dict[str, Set[str]]], undefined_attribute: Set[Tuple[str, str, str]], undefined_label: Set[Tuple[str, str, str]], missing_attribute: Set[Tuple[str, str, str, str]], missing_label: Set[Tuple[str, str]], multiple_label: Set[Tuple[str, str]])[source]#

Bases: StatsData

multiple_label: Set[Tuple[str, str]]#

class datumaro.plugins.configurable_validator.DetStatsData(categories: Dict[str, Dict[str, Set[str]]], undefined_attribute: Set[Tuple[str, str, str]], undefined_label: Set[Tuple[str, str, str]], missing_attribute: Set[Tuple[str, str, str, str]], missing_label: Set[Tuple[str, str]], invalid_value: Set[Tuple[str, str]], negative_length: Set[Tuple[str, str]])[source]#

Bases: StatsData

invalid_value: Set[Tuple[str, str]]#

negative_length: Set[Tuple[str, str]]#

class datumaro.plugins.configurable_validator.SegStatsData(categories: Dict[str, Dict[str, Set[str]]], undefined_attribute: Set[Tuple[str, str, str]], undefined_label: Set[Tuple[str, str, str]], missing_attribute: Set[Tuple[str, str, str, str]], missing_label: Set[Tuple[str, str]], invalid_value: Set[Tuple[str, str]])[source]#

Bases: StatsData

invalid_value: Set[Tuple[str, str]]#

class datumaro.plugins.configurable_validator.TblStatsData(categories: Dict[str, Dict[str, Set[str]]], empty_label: Set[Tuple[str, str]], empty_caption: Set[Tuple[str, str]], missing_annotations: Set[Tuple[str, str]], broken_annotations: Set[Tuple[str, str]])[source]#

Bases: object

categories: Dict[str, Dict[str, Set[str]]]#

empty_label: Set[Tuple[str, str]]#

empty_caption: Set[Tuple[str, str]]#

missing_annotations: Set[Tuple[str, str]]#

broken_annotations: Set[Tuple[str, str]]#

class datumaro.plugins.configurable_validator.ClsStats(label_categories: LabelCategories, warnings: set, few_samples_thr: None, imbalance_ratio_thr: None, far_from_mean_thr: None, dominance_thr: None, topk_bins_ratio: None)[source]#: Bases: _BaseAnnStats

class datumaro.plugins.configurable_validator.DetStats(label_categories: LabelCategories, warnings: set, few_samples_thr: None, imbalance_ratio_thr: None, far_from_mean_thr: None, dominance_thr: None, topk_bins_ratio: None)[source]#: Bases: _BaseAnnStats

class datumaro.plugins.configurable_validator.SegStats(label_categories: LabelCategories, warnings: set, few_samples_thr: None, imbalance_ratio_thr: None, far_from_mean_thr: None, dominance_thr: None, topk_bins_ratio: None)[source]#: Bases: _BaseAnnStats

class datumaro.plugins.configurable_validator.TblStats(categories: dict, warnings: set, few_samples_thr: None, imbalance_ratio_thr: None, far_from_mean_thr: None, dominance_thr: None, topk_bins_ratio: None)[source]#: Bases: _BaseAnnStats

class datumaro.plugins.configurable_validator.ConfigurableValidator(tasks: ~typing.List[~datumaro.components.validator.TaskType] = [TaskType.classification, TaskType.detection, TaskType.segmentation, TaskType.tabular], warnings: ~typing.Set[~datumaro.components.errors.DatasetValidationError] = {<class 'datumaro.components.errors.AttributeDefinedButNotFound'>, <class 'datumaro.components.errors.FarFromAttrMean'>, <class 'datumaro.components.errors.FarFromLabelMean'>, <class 'datumaro.components.errors.FewSamplesInAttribute'>, <class 'datumaro.components.errors.FewSamplesInLabel'>, <class 'datumaro.components.errors.ImbalancedAttribute'>, <class 'datumaro.components.errors.ImbalancedDistInAttribute'>, <class 'datumaro.components.errors.ImbalancedDistInLabel'>, <class 'datumaro.components.errors.ImbalancedLabels'>, <class 'datumaro.components.errors.InvalidValue'>, <class 'datumaro.components.errors.LabelDefinedButNotFound'>, <class 'datumaro.components.errors.MissingAnnotation'>, <class 'datumaro.components.errors.MissingAttribute'>, <class 'datumaro.components.errors.MissingLabelCategories'>, <class 'datumaro.components.errors.MultiLabelAnnotations'>, <class 'datumaro.components.errors.NegativeLength'>, <class 'datumaro.components.errors.OnlyOneAttributeValue'>, <class 'datumaro.components.errors.OnlyOneLabel'>, <class 'datumaro.components.errors.UndefinedAttribute'>, <class 'datumaro.components.errors.UndefinedLabel'>}, few_samples_thr=None, imbalance_ratio_thr=None, far_from_mean_thr=None, dominance_ratio_thr=None, topk_bins=None)[source]#

Bases: Validator, CliPlugin

DEFAULT_FEW_SAMPLES_THR = 1#

DEFAULT_IMBALANCE_RATIO_THR = 50#

DEFAULT_FAR_FROM_MEAN_THR = 5#

DEFAULT_DOMINANCE_RATIO_THR = 0.8#

DEFAULT_TOPK_BINS = 0.1#

ALL_WARNINGS = {<class 'datumaro.components.errors.AttributeDefinedButNotFound'>, <class 'datumaro.components.errors.FarFromAttrMean'>, <class 'datumaro.components.errors.FarFromLabelMean'>, <class 'datumaro.components.errors.FewSamplesInAttribute'>, <class 'datumaro.components.errors.FewSamplesInLabel'>, <class 'datumaro.components.errors.ImbalancedAttribute'>, <class 'datumaro.components.errors.ImbalancedDistInAttribute'>, <class 'datumaro.components.errors.ImbalancedDistInLabel'>, <class 'datumaro.components.errors.ImbalancedLabels'>, <class 'datumaro.components.errors.InvalidValue'>, <class 'datumaro.components.errors.LabelDefinedButNotFound'>, <class 'datumaro.components.errors.MissingAnnotation'>, <class 'datumaro.components.errors.MissingAttribute'>, <class 'datumaro.components.errors.MissingLabelCategories'>, <class 'datumaro.components.errors.MultiLabelAnnotations'>, <class 'datumaro.components.errors.NegativeLength'>, <class 'datumaro.components.errors.OnlyOneAttributeValue'>, <class 'datumaro.components.errors.OnlyOneLabel'>, <class 'datumaro.components.errors.UndefinedAttribute'>, <class 'datumaro.components.errors.UndefinedLabel'>}#

classmethod build_cmdline_parser(**kwargs)[source]#

compute_statistics(dataset)[source]#

Computes statistics of the dataset based on task type.

Parameters:: dataset (IDataset) – a dataset to be validated
Returns:: A dict object containing statistics of the dataset.
Return type:: stats (dict)

generate_reports(task_stats)[source]#