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)

Static Protected Member Functions
	_pybind11_conduit_v1_ (*args, **kwargs)

Detailed Description

Generated from:  MR::UniformSamplingSettings

Constructor & Destructor Documentation

__init__() [1/3]

None mrmeshpy.UniformSamplingSettings.__init__

(

self

)

Implicit default constructor.

__init__() [2/3]

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

Implicit copy constructor.

__init__() [3/3]

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

Implicit aggregate constructor.

Member Function Documentation

_pybind11_conduit_v1_()

mrmeshpy.UniformSamplingSettings._pybind11_conduit_v1_ ( * args, ** kwargs )

staticprotected

distance() [1/2]

float mrmeshpy.UniformSamplingSettings.distance

(

self

)

minimal distance between samples

distance() [2/2]

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

lexicographicalOrder() [1/2]

bool 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 mrmeshpy.UniformSamplingSettings.lexicographicalOrder	(		self,
		bool	arg1 )

minNormalDot() [1/2]

float 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 mrmeshpy.UniformSamplingSettings.minNormalDot	(		self,
		float	arg1 )

pNormals() [1/2]

VertCoords 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 mrmeshpy.UniformSamplingSettings.pNormals	(		self,
		VertCoords	arg1 )

progress() [1/2]

func_bool_from_float mrmeshpy.UniformSamplingSettings.progress

(

self

)

to report progress and cancel processing

progress() [2/2]

None 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