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.
- n_samplesOptional[int] , default10000
Number of samples to use for the check. If None, all samples will be used.
- __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. |