mrmeshpy.OutliersDetector Class Reference

Public Member Functions
None	__init__ (self)
None	__init__ (self, OutliersDetector arg0)
VertBitSet	find (self, OutlierTypeMask mask, func_bool_from_float progress='{}')
OutlierParams	getParams (self)
std_vector_unsigned_char	getWeaklyConnectedStat (self)
None	prepare (self, PointCloud pc, float radius, OutlierTypeMask mask, func_bool_from_float progress='{}')
None	setParams (self, OutlierParams params)

Static Public Member Functions
None	__init__ (*args, **kwargs)
OutliersDetector	operator (*args, **kwargs)
OutliersDetector	operator (*args, **kwargs)

Detailed Description

Generated from:  MR::OutliersDetector

A class for searching for outliers of points
@detail The class caches the prepared search results, which allows to speed up the repeat search (while use same radius)

Constructor & Destructor Documentation

__init__() [1/3]

None mrmeshpy.OutliersDetector.__init__ ( * args, ** kwargs )

static

__init__() [2/3]

None mrmeshpy.OutliersDetector.__init__

(

self

)

__init__() [3/3]

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

Implicit copy constructor.

Member Function Documentation

find()

VertBitSet mrmeshpy.OutliersDetector.find	(		self,
		OutlierTypeMask	mask,
		func_bool_from_float	progress = '{}' )

Make an outlier search based on preliminary data
@param mask mask of the types of outliers you are looking for

getParams()

OutlierParams mrmeshpy.OutliersDetector.getParams

(

self

)

Get search parameters

getWeaklyConnectedStat()

std_vector_unsigned_char mrmeshpy.OutliersDetector.getWeaklyConnectedStat

(

self

)

Get statistics on the number of neighbors for each point

operator() [1/2]

OutliersDetector mrmeshpy.OutliersDetector.operator ( * args, ** kwargs )

static

operator() [2/2]

OutliersDetector mrmeshpy.OutliersDetector.operator ( * args, ** kwargs )

static

prepare()

None mrmeshpy.OutliersDetector.prepare	(		self,
		PointCloud	pc,
		float	radius,
		OutlierTypeMask	mask,
		func_bool_from_float	progress = '{}' )

Make a preliminary stage of outlier search. Caches the result

@param pc point cloud
@param radius radius of the search for neighboring points for analysis
@param mask mask of the types of outliers that are looking for
@param progress progress callback function
@return error text or nothing

setParams()

None mrmeshpy.OutliersDetector.setParams	(		self,
		OutlierParams	params )

Set search parameters

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

• mrmeshpy.pyi