/// <inheritdoc/>
Tensor IOps.NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
{
var O = m_Ops.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
LogLayerSummary($"{string.Join(",", Enumerable.Select(tensors, t => t.shape.ToString()))} centerPointBox: {centerPointBox} # {O.shape}");
LogOutputTensorSummary(O, Prefix + nameof(IOps.NonMaxSuppression));
return O;
}
/// <inheritdoc/>
Tensor IOps.NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
{
var O = m_Ops.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
// @TODO: not implemented
return(O);
}
/// <inheritdoc/>
Tensor IOps.NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
{
var Y = m_Ops1.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
var Z = m_Ops2.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
CheckSame(Y, Z, Layer.Type.NonMaxSuppression);
return(Y);
}
/// <inheritdoc/>
Tensor IOps.NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
{
var O = m_Ops.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
D.Log($"{string.Join(",", tensors.Select(t => t.shape.ToString()))} centerPointBox: {centerPointBox} # {O.shape}");
O.PrintDataPart(32, Prefix + nameof(IOps.NonMaxSuppression));
return(O);
}
/// <inheritdoc/>
Tensor IOps.NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
{
var O = m_Ops.NonMaxSuppression(tensors, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox);
m_Alu += 0;
m_Mem += 0;
RegisterLayerStats();
return(O);
}