fgHSV Class Reference

Detector for getting the foreground object by checking HSV transformed image for certain color ranges. More...

Inheritance diagram for fgHSV:

Collaboration diagram for fgHSV:

Public Member Functions
def	__init__ (self, fgCfg=None, processor=None)
	Constructor for single Gaussian model background detector. More...
def	adapt (self)
	@breif Adapt the HSV based detection model parameters. More...
def	correct (self)
	Generate a correction to the model. More...
def	detect (self, I, M=None)
	Given a new measurement, apply the detection pipeline. More...
def	emptyDebug (self)
	Return empty debug state information. More...
def	emptyState (self)
	Return empty state. More...
def	getDebug (self)
	Return current/latest debug state information. More...
def	getState (self)
	Return current/latest state. More...
def	measure (self, I, M=None)
	Takes image and generates the detection result. More...
def	predict (self)
	Predictive model of measurement. More...
def	process (self, I)
	Given a new measurement, apply entire FG modeling pipeline. More...
def	saveConfig (self, outFile)
	Save current instance to a configuration file. More...
def	saveTo (self, fPtr)
	Empty method for saving internal information to HDF5 file. More...
Public Member Functions inherited from fgImage
def	__init__ (self, processor=None)
Public Member Functions inherited from inImage
def	info (self)
	Provide information about the current class implementation. More...
def	measure (self, I)
	Generate detection measurements from image input. More...
Public Member Functions inherited from Base
def	__init__ (self)
	Instantiate a detector Base activity class object. More...
def	detect (self, signal)
	Run detection only processing pipeline (no adaptation). More...
def	save (self, fileName)
	Outer method for saving to a file given as a string. More...

Static Public Member Functions
def	buildFromCfg (theConfig, processor=None)
	Instantiate from stored configuration file (YAML). More...
def	load (fileName)
	Load Gaussian instance specification from HDF5 file. More...
def	loadFrom (fPtr)
	Specialzed load function to parse HDF5 data from file pointer. More...
def	loadFromYAML (fileName)
	Instantiate from stored configuration file (YAML). More...
Static Public Member Functions inherited from Base
def	load (fileName, relpath=None)
	Outer method for loading file given as a string (with path). More...

Public Attributes
	config
	fgI
	improcessor
	imsize
	lower
	upper
Public Attributes inherited from inImage
	Ip
	processor
Public Attributes inherited from Base
	x
	Detection state. More...

Detailed Description

Detector for getting the foreground object by checking HSV transformed image for certain color ranges.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			fgCfg = None,
			processor = None
	)

Constructor for single Gaussian model background detector.

Member Function Documentation

adapt()

def adapt

(

self

)

@breif Adapt the HSV based detection model parameters.

Reimplemented from Base.

buildFromCfg()

def buildFromCfg (   theConfig,   processor = None  )

static

Instantiate from stored configuration file (YAML).

correct()

def correct

(

self

)

Generate a correction to the model.

In standard schemes, there are no corrections to the estimates. The classification result is presumed to be correct. Corrections would imply some sort of temporal regularization. Spatial regularization is usually done through image-based mid-processing.

Reimplemented from Base.

detect()

def detect	(		self,
			I,
			M = None
	)

Given a new measurement, apply the detection pipeline.

This only goes so far as to process the image and generate the detection, with correction. There is no adaptation. It should be run separately if desired.

emptyDebug()

def emptyDebug

(

self

)

Return empty debug state information.

Useful if contents needed beforehand.

Reimplemented from Base.

emptyState()

def emptyState

(

self

)

Return empty state.

Useful if contents needed beforehand.

Reimplemented from Base.

getDebug()

def getDebug

(

self

)

Return current/latest debug state information.

Usually the debug state consists of internally computed information that is useful for debugging purposes and can help to isolate problems within the implemented class or with downstream processing that may rely on assumptions built into this implemented class.

Reimplemented from Base.

getState()

def getState

(

self

)

Return current/latest state.

Reimplemented from Base.

load()

def load (   fileName )

static

Load Gaussian instance specification from HDF5 file.

loadFrom()

def loadFrom (   fPtr )

static

Specialzed load function to parse HDF5 data from file pointer.

Reimplemented from Base.

loadFromYAML()

def loadFromYAML (   fileName )

static

Instantiate from stored configuration file (YAML).

measure()

def measure	(		self,
			I,
			M = None
	)

Takes image and generates the detection result.

Parameters

[in]

I

Image to process.

predict()

def predict

(

self

)

Predictive model of measurement.

In standard schemes, the expectation is that the background model is static (a constant state model). Thus, the default prediction is no update.

Reimplemented from Base.

process()

def process	(		self,
			I
	)

Given a new measurement, apply entire FG modeling pipeline.

Parameters

[in]

I

New image measurement.

Reimplemented from Base.

saveConfig()

def saveConfig	(		self,
			outFile
	)

Save current instance to a configuration file.

saveTo()

def saveTo	(		self,
			fPtr
	)

Empty method for saving internal information to HDF5 file.

Save data to given HDF5 pointer. Puts in root.

Reimplemented from Base.

Member Data Documentation

config

config

fgI

fgI

improcessor

improcessor

imsize

imsize

lower

lower

upper

upper

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

• /home/mary/python/detector/detector/fgmodel/HSV.py