PuzzleCalibrator Class Reference

Detection calibrator: Possible that not used due to static calibration methods in the Detector classes proper. More...

Inheritance diagram for PuzzleCalibrator:

Collaboration diagram for PuzzleCalibrator:

Public Member Functions
def	__init__ (self, detCfg=None, processors=None, detModel=None)
	Constructor for layered puzzle scene detector. More...
def	adapt (self)
	Adapt the layer detection models. More...
def	correct (self)
	Apply correction process to the individual detectors. More...
def	detect (self, I)
	Apply predict, measure, correct process to source image. More...
def	emptyDebug (self)
def	emptyState (self)
	Get and empty state to recover its basic structure. More...
def	getDebug (self)
def	getState (self)
	Get the complete detector state, which involves the states of the individual layer detectors. More...
def	info (self)
def	measure (self, I)
	Apply detection to the source image pass. More...
def	predict (self)
	Generate prediction of expected measurement. More...
def	process (self, I)
	Apply entire predict to adapt process to source image. More...
def	saveConfig (self, outFile)
def	saveTo (self, fPtr)
	Save the instantiated Detector to given HDF5 file. More...
Public Member Functions inherited from PuzzleDetectors
def	loadFrom (fPtr)

Public Attributes
	depth
	glove
	phase
	workspace
Public Attributes inherited from PuzzleDetectors
	depth
	glove
	hand
	First, perform any specified pre-processing. More...
	imGlove
	Package the processed layers started with the glove. More...
	imPuzzle
	mask
	params
	workspace

Additional Inherited Members
Static Public Member Functions inherited from PuzzleDetectors
def	buildFromCfg (theConfig)
	Instantiate from stored configuration file (YAML). More...
def	calibrate2config (theStream, outFile)
def	load (inFile)

Detailed Description

Detection calibrator: Possible that not used due to static calibration methods in the Detector classes proper.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			detCfg = None,
			processors = None,
			detModel = None
	)

Constructor for layered puzzle scene detector.

Parameters

[in]	detCfg	Detector configuration.
[in]	processors	Image processors for the different layers.
[in]	detModel	Detection models for the different layers.

Reimplemented from PuzzleDetectors.

Member Function Documentation

adapt()

def adapt

(

self

)

Adapt the layer detection models.

This part is tricky as there may be dependencies across the layers in terms of what should be updated and what should not be. Applying simple filtering to establish what pixels should adapt and which ones shouldn't.

Reimplemented from PuzzleDetectors.

correct()

def correct

(

self

)

Apply correction process to the individual detectors.

Apply naive correction on a per detector basis. As a layered system, there might be interdependencies that would impact the correction step. Ignoring that for now since it does not immediately come to mind what needs to be done.

Reimplemented from PuzzleDetectors.

detect()

def detect	(		self,
			I
	)

Apply predict, measure, correct process to source image.

Running detect alone elects not to adapt or update the underlying models. The static model is presumed to be sufficient and applied to the RGBD stream.

Parameters

[in]

I

Source RGB-D image (structure/dataclass).

Reimplemented from PuzzleDetectors.

emptyDebug()

def emptyDebug

(

self

)

Reimplemented from PuzzleDetectors.

emptyState()

def emptyState

(

self

)

Get and empty state to recover its basic structure.

Parameters

[out]

estate

The empty state.

Reimplemented from PuzzleDetectors.

getDebug()

def getDebug

(

self

)

Reimplemented from PuzzleDetectors.

getState()

def getState

(

self

)

Get the complete detector state, which involves the states of the individual layer detectors.

Parameters

[out]

state

The detector state for each layer, by layer.

Reimplemented from PuzzleDetectors.

info()

def info

(

self

)

Reimplemented from PuzzleDetectors.

measure()

def measure	(		self,
			I
	)

Apply detection to the source image pass.

Parameters

[in]

I

An RGB-D image (structure/dataclass).

Reimplemented from PuzzleDetectors.

predict()

def predict

(

self

)

Generate prediction of expected measurement.

The detectors are mostly going to be static models, which means that prediction does nothing. Just in case though, the prediction methods are called for them.

Reimplemented from PuzzleDetectors.

process()

def process	(		self,
			I
	)

Apply entire predict to adapt process to source image.

Parameters

[in]

I

Source RGB-D image (structure/dataclass).

Reimplemented from PuzzleDetectors.

saveConfig()

def saveConfig	(		self,
			outFile
	)

saveTo()

def saveTo	(		self,
			fPtr
	)

Save the instantiated Detector to given HDF5 file.

The save process saves the necessary information to re-instantiate a PuzzleDetectors class object.

Parameters

[in]

fPtr

An HDF5 file point.

Reimplemented from PuzzleDetectors.

Member Data Documentation

depth

depth

glove

glove

phase

phase

workspace

workspace

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

• /home/mary/python/Surveillance/Surveillance/layers/PuzzleScene.py