MeanAveragePrecisionReport

class MeanAveragePrecisionReport

Summarize mean average precision metrics on a dataset and model per IoU and bounding box area.

Parameters

area_range: tuple, default: (32**2, 96**2)

Slices for small/medium/large buckets.

n_samplesOptional[int] , default10000

Number of samples to use for the check. If None, all samples will be used.

__init__(area_range: Tuple = (1024, 9216), n_samples: Optional[int] = 10000, **kwargs)

__new__(*args, **kwargs)

Methods

MeanAveragePrecisionReport.add_condition(...)	Add new condition function to the check.
MeanAveragePrecisionReport.add_condition_average_mean_average_precision_greater_than([...])	Add condition - average mAP for IoU values between 0.5 to 0.9 in all areas is greater than given score.
MeanAveragePrecisionReport.add_condition_mean_average_precision_greater_than(...)	Add condition - mAP scores in different area thresholds is greater than given score.
MeanAveragePrecisionReport.clean_conditions()	Remove all conditions from this check instance.
MeanAveragePrecisionReport.compute(context, ...)	Compute the metric result using the ignite metrics compute method and create display.
MeanAveragePrecisionReport.conditions_decision(result)	Run conditions on given result.
MeanAveragePrecisionReport.config([...])	Return check configuration (conditions' configuration not yet supported).
MeanAveragePrecisionReport.from_config(conf)	Return check object from a CheckConfig object.
MeanAveragePrecisionReport.from_json(conf[, ...])	Deserialize check instance from JSON string.
MeanAveragePrecisionReport.initialize_run(context)	Initialize run by asserting task type and initializing metric.
MeanAveragePrecisionReport.metadata([...])	Return check metadata.
MeanAveragePrecisionReport.name()	Name of class in split camel case.
MeanAveragePrecisionReport.params([...])	Return parameters to show when printing the check.
MeanAveragePrecisionReport.remove_condition(index)	Remove given condition by index.
MeanAveragePrecisionReport.run(dataset[, ...])	Run check.
MeanAveragePrecisionReport.to_json([indent, ...])	Serialize check instance to JSON string.
MeanAveragePrecisionReport.update(context, ...)	Update the metrics by passing the batch to ignite metric update method.

Examples

Mean Average Precision Report

previous

ConfusionMatrixReport.update_object_detection

next

MeanAveragePrecisionReport.add_condition