MeanAveragePrecisionReport#
- class MeanAveragePrecisionReport[source]#
 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.
- __new__(*args, **kwargs)#
 
Methods
Add new condition function to the check.  | 
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Add condition - average mAP for IoU values between 0.5 to 0.9 in all areas is greater than given score.  | 
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Add condition - mAP scores in different area thresholds is greater than given score.  | 
Remove all conditions from this check instance.  | 
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Compute the metric result using the ignite metrics compute method and create display.  | 
Run conditions on given result.  | 
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Return check configuration (conditions' configuration not yet supported).  | 
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Return check object from a CheckConfig object.  | 
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Deserialize check instance from JSON string.  | 
Initialize run by asserting task type and initializing metric.  | 
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Return check metadata.  | 
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Name of class in split camel case.  | 
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Return parameters to show when printing the check.  | 
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Remove given condition by index.  | 
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Run check.  | 
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Serialize check instance to JSON string.  | 
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Update the metrics by passing the batch to ignite metric update method.  |