DetectionEngine.anchor_coverage

DetectionEngine.anchor_coverage(model_name=None, split='train')

How well the anchors in use cover this split’s boxes.

Worth asking of a split the anchors were not fitted on: anchors that cover the training boxes at 0.92 and the validation boxes at 0.70 say the two splits hold different objects, which no training curve shows.

Parameters

Name	Type	Description	Default
model_name	str | None	Which detector. Defaults to the first.	None
split	str	Which split’s boxes to measure against.	'train'

Returns

Name	Type	Description
	dict[str, Any]	The mean IoU between each box and its best anchor. Measured on a split the
	dict[str, Any]	anchors were not fitted on, this says whether they generalise; it was 0.877
	dict[str, Any]	in every one of six BCCD runs, which is also why GIoU could not help there -
	dict[str, Any]	a prediction never starts disjoint from the truth it answers.