datumaro.components.validator#

Classes

`Severity`(value[, names, module, qualname, ...])
`TaskType`(value[, names, module, qualname, ...])
`Validator`()

class datumaro.components.validator.Severity(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

info = 1#

warning = 2#

error = 3#

class datumaro.components.validator.TaskType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

classification = 1#

detection = 2#

segmentation = 3#

tabular = 4#

class datumaro.components.validator.Validator[source]#

Bases: CliPlugin

validate(dataset: IDataset) → Dict[source]#

Returns the validation results of a dataset based on task type.

Parameters:: dataset (IDataset) – Dataset to be validated
Raises:: ValueError –
Returns:: Dict with validation statistics, reports and summary.
Return type:: validation_results (dict)

compute_statistics(dataset: IDataset) → Dict[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(stats: Dict) → List[Dict][source]#