oa::FnDetection::evaluate

Dataset-level object-detection evaluation. Predictions are FP32 boxes [P,4], FP32 scores [P], Int32 classes [P] and Int32 image IDs [P]. targets are FP32 boxes [G,4], Int32 classes [G] and Int32 image IDs [G]. IoU thresholds are FP32 [T]. Matching is greedy by descending score, class-aware and constrained to the same image. classes without targets do not contribute to mAP. All outputs and internal scratch stay GPU-resident.

FnC++ public headers

Function Documentation

DetectionMetricsResult oa::FnDetection::evaluate(
	const Matrix & inPredictedBoxes,
	const Matrix & inPredictedScores,
	const Matrix & inPredictedClasses,
	const Matrix & inPredictedImageIds,
	const Matrix & inTargetBoxes,
	const Matrix & inTargetClasses,
	const Matrix & inTargetImageIds,
	const Matrix & inIouThresholds,
	oa::I32 inClassCount,
	oa::F32 inScoreThreshold = 0.0F
)

Parameters

inPredictedBoxes

const Matrix &

—

inPredictedScores

const Matrix &

—

inPredictedClasses

const Matrix &

—

inPredictedImageIds

const Matrix &

—

inTargetBoxes

const Matrix &

—

inTargetClasses

const Matrix &

—

inTargetImageIds

const Matrix &

—

inIouThresholds

const Matrix &

—

inClassCount

oa::I32

—

inScoreThreshold

oa::F32

Default: 0.0F

Returns

DetectionMetricsResult

The declared return value.