internal static int LoadNew(IntPtr proc, int parIndex, int err, out HClassLUT[] obj)
{
HTuple tuple;
err = HTuple.LoadNew(proc, parIndex, err, out tuple);
obj = new HClassLUT[tuple.Length];
for (int index = 0; index < tuple.Length; ++index)
{
obj[index] = new HClassLUT(tuple[index].IP);
}
return(err);
}
/// <summary>
/// Create a look-up table using a k-nearest neighbors classifier (k-NN) to classify byte images.
/// Instance represents: Handle of the k-NN classifier.
/// </summary>
/// <param name="genParamName">Names of the generic parameters that can be adjusted for the LUT classifier creation. Default: []</param>
/// <param name="genParamValue">Values of the generic parameters that can be adjusted for the LUT classifier creation. Default: []</param>
/// <returns>Handle of the LUT classifier.</returns>
public HClassLUT CreateClassLutKnn(HTuple genParamName, HTuple genParamValue)
{
IntPtr proc = HalconAPI.PreCall(1819);
this.Store(proc, 0);
HalconAPI.Store(proc, 1, genParamName);
HalconAPI.Store(proc, 2, genParamValue);
HalconAPI.InitOCT(proc, 0);
int err = HalconAPI.CallProcedure(proc);
HalconAPI.UnpinTuple(genParamName);
HalconAPI.UnpinTuple(genParamValue);
HClassLUT hclassLut;
int procResult = HClassLUT.LoadNew(proc, 0, err, out hclassLut);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
return(hclassLut);
}
internal static int LoadNew(IntPtr proc, int parIndex, int err, out HClassLUT obj)
{
obj = new HClassLUT(HTool.UNDEF);
return(obj.Load(proc, parIndex, err));
}
