Moved NoiseFormatAUTO check out of switch case
parent
59db3b72aa
commit
de175ea128
|
@ -102,26 +102,28 @@ static SharedNoiseModel readNoiseModel(ifstream& is, bool smart,
|
|||
double v1, v2, v3, v4, v5, v6;
|
||||
is >> v1 >> v2 >> v3 >> v4 >> v5 >> v6;
|
||||
|
||||
if (noiseFormat == NoiseFormatAUTO)
|
||||
{
|
||||
// Try to guess covariance matrix layout
|
||||
if(v1 != 0.0 && v2 == 0.0 && v3 != 0.0 && v4 != 0.0 && v5 == 0.0 && v6 == 0.0)
|
||||
{
|
||||
// NoiseFormatGRAPH
|
||||
noiseFormat = NoiseFormatGRAPH;
|
||||
}
|
||||
else if(v1 != 0.0 && v2 == 0.0 && v3 == 0.0 && v4 != 0.0 && v5 == 0.0 && v6 != 0.0)
|
||||
{
|
||||
// NoiseFormatCOV
|
||||
noiseFormat = NoiseFormatCOV;
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::invalid_argument("load2D: unrecognized covariance matrix format in dataset file. Please specify the noise format.");
|
||||
}
|
||||
}
|
||||
|
||||
// Read matrix and check that diagonal entries are non-zero
|
||||
Matrix M(3, 3);
|
||||
switch (noiseFormat) {
|
||||
case NoiseFormatAUTO:
|
||||
// Try to guess covariance matrix layout
|
||||
if(v1 != 0.0 && v2 == 0.0 && v3 != 0.0 && v4 != 0.0 && v5 == 0.0 && v6 == 0.0)
|
||||
{
|
||||
// NoiseFormatGRAPH
|
||||
M << v1, v2, v5, v2, v3, v6, v5, v6, v4;
|
||||
}
|
||||
else if(v1 != 0.0 && v2 == 0.0 && v3 == 0.0 && v4 != 0.0 && v5 == 0.0 && v6 != 0.0)
|
||||
{
|
||||
// NoiseFormatCOV
|
||||
M << v1, v2, v3, v2, v4, v5, v3, v5, v6;
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::invalid_argument("load2D: unrecognized covariance matrix format in dataset file. Please specify the noise format.");
|
||||
}
|
||||
break;
|
||||
case NoiseFormatG2O:
|
||||
case NoiseFormatCOV:
|
||||
// i.e., [ v1 v2 v3; v2' v4 v5; v3' v5' v6 ]
|
||||
|
@ -153,7 +155,6 @@ static SharedNoiseModel readNoiseModel(ifstream& is, bool smart,
|
|||
// In both cases, what is stored in file is the information matrix
|
||||
model = noiseModel::Gaussian::Information(M, smart);
|
||||
break;
|
||||
case NoiseFormatAUTO:
|
||||
case NoiseFormatGRAPH:
|
||||
case NoiseFormatCOV:
|
||||
// These cases expect covariance matrix
|
||||
|
|
Loading…
Reference in New Issue