meshlib.mrmeshpy.UniformSamplingSettings Class Reference

Public Member Functions
None	__init__ (self)
None	__init__ (self, UniformSamplingSettings arg0)
None	__init__ (self, float distance, float minNormalDot, bool lexicographicalOrder, VertCoords pNormals, func_bool_from_float progress)
float	distance (self)
None	distance (self, float arg1)
bool	lexicographicalOrder (self)
None	lexicographicalOrder (self, bool arg1)
float	minNormalDot (self)
None	minNormalDot (self, float arg1)
VertCoords	pNormals (self)
None	pNormals (self, VertCoords arg1)
func_bool_from_float	progress (self)
None	progress (self, func_bool_from_float arg1)

Detailed Description

Generated from:  MR::UniformSamplingSettings

Constructor & Destructor Documentation

__init__() [1/3]

None meshlib.mrmeshpy.UniformSamplingSettings.__init__

(

self

)

Implicit default constructor.

__init__() [2/3]

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

Implicit copy constructor.

__init__() [3/3]

None meshlib.mrmeshpy.UniformSamplingSettings.__init__	(		self,
		float	distance,
		float	minNormalDot,
		bool	lexicographicalOrder,
		VertCoords	pNormals,
		func_bool_from_float	progress )

Implicit aggregate constructor.

Member Function Documentation

distance() [1/2]

float meshlib.mrmeshpy.UniformSamplingSettings.distance

(

self

)

minimal distance between samples

distance() [2/2]

None meshlib.mrmeshpy.UniformSamplingSettings.distance	(		self,
		float	arg1 )

lexicographicalOrder() [1/2]

bool meshlib.mrmeshpy.UniformSamplingSettings.lexicographicalOrder

(

self

)

if true process the points in lexicographical order, which gives tighter and more uniform samples;
if false process the points according to their ids, which is faster

lexicographicalOrder() [2/2]

None meshlib.mrmeshpy.UniformSamplingSettings.lexicographicalOrder	(		self,
		bool	arg1 )

minNormalDot() [1/2]

float meshlib.mrmeshpy.UniformSamplingSettings.minNormalDot

(

self

)

if point cloud has normals then automatically decreases local distance to make sure that all points inside have absolute normal dot product not less than this value;
this is to make sampling denser in the regions of high curvature;
value <=0 means ignore normals;
value >=1 means select all points (practically useless)

minNormalDot() [2/2]

None meshlib.mrmeshpy.UniformSamplingSettings.minNormalDot	(		self,
		float	arg1 )

pNormals() [1/2]

VertCoords meshlib.mrmeshpy.UniformSamplingSettings.pNormals

(

self

)

if not nullptr then these normals will be used during sampling instead of normals in the cloud itself

pNormals() [2/2]

None meshlib.mrmeshpy.UniformSamplingSettings.pNormals	(		self,
		VertCoords	arg1 )

progress() [1/2]

func_bool_from_float meshlib.mrmeshpy.UniformSamplingSettings.progress

(

self

)

to report progress and cancel processing

progress() [2/2]

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

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

• mrmeshpy.pyi