CfgSGT Class Reference

Configuration setting specifier for Gaussian BG model. More...

Inheritance diagram for CfgSGT:

Collaboration diagram for CfgSGT:

Public Member Functions
def	__init__ (self, init_dict=None, key_list=None, new_allowed=True)
Public Member Functions inherited from AlgConfig
def	__setattr__ (self, name, value)
def	dump (self, **kwargs)

Static Public Member Functions
def	builtForDepth435 ()
def	builtForLearning ()
def	builtForRedGlove (minArea=500, initModel=None)
def	get_default_settings ()
	Defines most basic, default settings for RealSense D435. More...

Detailed Description

Configuration setting specifier for Gaussian BG model.

The most basic settings are the mean and variance vectors (mu, sigma), where the assumption is that the covariance matrix is diagonal only, and the detection threshold. Also available are the learning rate (alpha), the minimum sigma permissible and the minimum area of the foreground target. The minimum sigma prevents small values that end up behaving like a delta function and are too restrictive regarding what is acceptable.

Note

Currently not using a CfgBGModel super class. Probably best to do so.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			init_dict = None,
			key_list = None,
			new_allowed = True
	)

Reimplemented from AlgConfig.

Member Function Documentation

builtForDepth435()

def builtForDepth435 ( )

static

builtForLearning()

def builtForLearning ( )

static

builtForRedGlove()

def builtForRedGlove (   minArea = 500,   initModel = None  )

static

get_default_settings()

def get_default_settings ( )

static

Defines most basic, default settings for RealSense D435.

Parameters

[out]

default_dict

Dictionary populated with minimal set of default settings.

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

• /home/pvela/python/detector/detector/fgmodel/Gaussian.py