private static extern void cveDnnSoftNMSBoxes(
IntPtr bboxes,
IntPtr scores,
IntPtr updatedScores,
float scoreThreshold,
float nmsThreshold,
IntPtr indices,
int topK,
float sigma,
SoftNMSMethod method);
/// <summary>
/// Performs soft non maximum suppression given boxes and corresponding scores. Reference: https://arxiv.org/abs/1704.04503
/// </summary>
/// <param name="bboxes">A set of bounding boxes to apply Soft NMS.</param>
/// <param name="scores">A set of corresponding confidences.</param>
/// <param name="updatedScores">A set of corresponding updated confidences.</param>
/// <param name="scoreThreshold">A threshold used to filter boxes by score.</param>
/// <param name="nmsThreshold">A threshold used in non maximum suppression.</param>
/// <param name="indices">The kept indices of bboxes after NMS.</param>
/// <param name="topK">Keep at most <paramref name="topK"/> picked indices.</param>
/// <param name="sigma">Parameter of Gaussian weighting.</param>
/// <param name="method">Gaussian or linear.</param>
public static void SoftNMSBoxes(
VectorOfRect bboxes,
VectorOfFloat scores,
VectorOfFloat updatedScores,
float scoreThreshold,
float nmsThreshold,
VectorOfInt indices,
int topK = 0,
float sigma = 0.5f,
SoftNMSMethod method = SoftNMSMethod.Gaussian)
{
cveDnnSoftNMSBoxes(bboxes, scores, updatedScores, scoreThreshold, nmsThreshold, indices, topK, sigma, method);
}
