meshlib.mrmeshpy.ImproveSamplingSettings Class Reference

Public Member Functions
None	__init__ (self)
None	__init__ (self, ImproveSamplingSettings arg0)
None	__init__ (self, int numIters, int minPointsInSample, VertMap pt2sm, PointCloud cloudOfSamples, Vector_int_VertId ptsInSm, VertColors ptColors, VertColors smColors, func_bool_from_float progress)
PointCloud	cloudOfSamples (self)
None	cloudOfSamples (self, PointCloud arg1)
int	minPointsInSample (self)
None	minPointsInSample (self, int arg1)
int	numIters (self)
None	numIters (self, int arg1)
func_bool_from_float	progress (self)
None	progress (self, func_bool_from_float arg1)
VertMap	pt2sm (self)
None	pt2sm (self, VertMap arg1)
VertColors	ptColors (self)
None	ptColors (self, VertColors arg1)
Vector_int_VertId	ptsInSm (self)
None	ptsInSm (self, Vector_int_VertId arg1)
VertColors	smColors (self)
None	smColors (self, VertColors arg1)

Detailed Description

Generated from:  MR::ImproveSamplingSettings

Constructor & Destructor Documentation

__init__() [1/3]

None meshlib.mrmeshpy.ImproveSamplingSettings.__init__

(

self

)

Implicit default constructor.

__init__() [2/3]

None meshlib.mrmeshpy.ImproveSamplingSettings.__init__	(		self,
		ImproveSamplingSettings	arg0 )

Implicit copy constructor.

__init__() [3/3]

None meshlib.mrmeshpy.ImproveSamplingSettings.__init__	(		self,
		int	numIters,
		int	minPointsInSample,
		VertMap	pt2sm,
		PointCloud	cloudOfSamples,
		Vector_int_VertId	ptsInSm,
		VertColors	ptColors,
		VertColors	smColors,
		func_bool_from_float	progress )

Implicit aggregate constructor.

Member Function Documentation

cloudOfSamples() [1/2]

PointCloud meshlib.mrmeshpy.ImproveSamplingSettings.cloudOfSamples

(

self

)

optional output: new cloud containing averaged points and normals for each sample

cloudOfSamples() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.cloudOfSamples	(		self,
		PointCloud	arg1 )

minPointsInSample() [1/2]

int meshlib.mrmeshpy.ImproveSamplingSettings.minPointsInSample

(

self

)

if a sample represents less than this number of input points then such sample will be discarded;
it can be used to remove outliers

minPointsInSample() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.minPointsInSample	(		self,
		int	arg1 )

numIters() [1/2]

int meshlib.mrmeshpy.ImproveSamplingSettings.numIters

(

self

)

the number of algorithm iterations to perform

numIters() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.numIters	(		self,
		int	arg1 )

progress() [1/2]

func_bool_from_float meshlib.mrmeshpy.ImproveSamplingSettings.progress

(

self

)

output progress status and receive cancel signal

progress() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.progress	(		self,
		func_bool_from_float	arg1 )

pt2sm() [1/2]

VertMap meshlib.mrmeshpy.ImproveSamplingSettings.pt2sm

(

self

)

optional output: mapping from input point id to sample id

pt2sm() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.pt2sm	(		self,
		VertMap	arg1 )

ptColors() [1/2]

VertColors meshlib.mrmeshpy.ImproveSamplingSettings.ptColors

(

self

)

optional input: colors of input points

ptColors() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.ptColors	(		self,
		VertColors	arg1 )

ptsInSm() [1/2]

Vector_int_VertId meshlib.mrmeshpy.ImproveSamplingSettings.ptsInSm

(

self

)

optional output: the number of points in each sample

ptsInSm() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.ptsInSm	(		self,
		Vector_int_VertId	arg1 )

smColors() [1/2]

VertColors meshlib.mrmeshpy.ImproveSamplingSettings.smColors

(

self

)

optional output: averaged colors of samples

smColors() [2/2]

None meshlib.mrmeshpy.ImproveSamplingSettings.smColors	(		self,
		VertColors	arg1 )

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The documentation for this class was generated from the following file:

• mrmeshpy.pyi