eVision Python API
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eVision.Easy3D.EErrorStatistics Class Reference

This object contains the error statistics (deviation between model and aligned points). More...

Public Member Functions

None __init__ (self)
 Creates a eVision.Easy3D.EErrorStatistics object.
None __init__ (self, eVision.Easy3D.EErrorStatistics other)
 Copy constructor for eVision.Easy3D.EErrorStatistics.
None Load (self, str path)
 Loads a eVision.Easy3D.EErrorStatistics.
None Load (self, eVision.ESerializer|None serializer)
 Loads a eVision.Easy3D.EErrorStatistics.
None Save (self, str path)
 Saves a eVision.Easy3D.EErrorStatistics.
None Save (self, eVision.ESerializer|None serializer)
 Saves a eVision.Easy3D.EErrorStatistics.

Properties

 NumOfValidSamples = property(_NumOfValidSamples__getter, _NumOfValidSamples__setter)
 Gets/Sets the number of valid samples which is the number of samples on which the error is calculated.
 NumOfErrors = property(_NumOfErrors__getter, _NumOfErrors__setter)
 Gets/Sets the number of errors (samples not found) which is the number of samples on which no error could be calculated.
 Min = property(_Min__getter, _Min__setter)
 Gets/Sets the minimum error (calculated on the valid samples).
 Max = property(_Max__getter, _Max__setter)
 Gets/Sets the maximum error (calculated on the valid samples).
 Mean = property(_Mean__getter, _Mean__setter)
 Gets/Sets the mean error (calculated on the valid samples).
 StdDev = property(_StdDev__getter, _StdDev__setter)
 Gets/Sets the standard deviation error (calculated on the valid samples).

Detailed Description

This object contains the error statistics (deviation between model and aligned points).

Remarks:

License(s): Easy3D

Constructor & Destructor Documentation

◆ __init__() [1/2]

None eVision.Easy3D.EErrorStatistics.__init__ ( self)

◆ __init__() [2/2]

None eVision.Easy3D.EErrorStatistics.__init__ ( self,
eVision.Easy3D.EErrorStatistics other )

Copy constructor for eVision.Easy3D.EErrorStatistics.

Parameters
otherReference used for the initialization.

Member Function Documentation

◆ Load() [1/2]

None eVision.Easy3D.EErrorStatistics.Load ( self,
eVision.ESerializer | None serializer )

Loads a eVision.Easy3D.EErrorStatistics.

The given eVision.ESerializer must have been created for reading.

Parameters
serializerThe serializer.

◆ Load() [2/2]

None eVision.Easy3D.EErrorStatistics.Load ( self,
str path )

Loads a eVision.Easy3D.EErrorStatistics.

The given eVision.ESerializer must have been created for reading.

Parameters
pathThe file path.

◆ Save() [1/2]

None eVision.Easy3D.EErrorStatistics.Save ( self,
eVision.ESerializer | None serializer )

Saves a eVision.Easy3D.EErrorStatistics.

The given eVision.ESerializer must have been created for writing.

Parameters
serializerThe serializer.

◆ Save() [2/2]

None eVision.Easy3D.EErrorStatistics.Save ( self,
str path )

Saves a eVision.Easy3D.EErrorStatistics.

The given eVision.ESerializer must have been created for writing.

Parameters
pathThe file path.

Property Documentation

◆ Max

eVision.Easy3D.EErrorStatistics.Max = property(_Max__getter, _Max__setter)
static

Gets/Sets the maximum error (calculated on the valid samples).

◆ Mean

eVision.Easy3D.EErrorStatistics.Mean = property(_Mean__getter, _Mean__setter)
static

Gets/Sets the mean error (calculated on the valid samples).

◆ Min

eVision.Easy3D.EErrorStatistics.Min = property(_Min__getter, _Min__setter)
static

Gets/Sets the minimum error (calculated on the valid samples).

◆ NumOfErrors

eVision.Easy3D.EErrorStatistics.NumOfErrors = property(_NumOfErrors__getter, _NumOfErrors__setter)
static

Gets/Sets the number of errors (samples not found) which is the number of samples on which no error could be calculated.

◆ NumOfValidSamples

eVision.Easy3D.EErrorStatistics.NumOfValidSamples = property(_NumOfValidSamples__getter, _NumOfValidSamples__setter)
static

Gets/Sets the number of valid samples which is the number of samples on which the error is calculated.

◆ StdDev

eVision.Easy3D.EErrorStatistics.StdDev = property(_StdDev__getter, _StdDev__setter)
static

Gets/Sets the standard deviation error (calculated on the valid samples).