MbtXmlGenericParser¶

class MbtXmlGenericParser(self, type: int = EDGE_PARSER)¶

Bases: pybind11_object

Parse an Xml file to extract configuration parameters of a mbtConfig object.

Data parser for the model-based tracker.

Methods

`__init__`
`getAngleAppear`	Get the angle to determine if a face appeared.
`getAngleDisappear`	Get the angle to determine if a face disappeared.
`getCameraParameters`
`getDepthDenseSamplingStepX`	Get depth dense sampling step in X.
`getDepthDenseSamplingStepY`	Get depth dense sampling step in Y.
`getDepthNormalFeatureEstimationMethod`	Get depth normal feature estimation method.
`getDepthNormalPclPlaneEstimationMethod`	Get depth normal PCL plane estimation method.
`getDepthNormalPclPlaneEstimationRansacMaxIter`	Get depth normal PCL maximum number of iterations.
`getDepthNormalPclPlaneEstimationRansacThreshold`	Get depth normal PCL RANSAC threshold.
`getDepthNormalSamplingStepX`	Get depth normal sampling step in X.
`getDepthNormalSamplingStepY`	Get depth normal sampling step in Y.
`getEdgeMe`	Get moving edge parameters.
`getFarClippingDistance`	Get the far clipping distance.
`getFovClipping`	Get if FOV clipping should be used or not.
`getKltBlockSize`	Get the size of a block.
`getKltHarrisParam`	Get the Harris free parameter.
`getKltMaskBorder`	Get the Border of the mask.
`getKltMaxFeatures`	Get the maximum number of features for the KLT.
`getKltMinDistance`	Get the minimum distance between KLT points.
`getKltPyramidLevels`	Get the number of pyramid levels
`getKltQuality`	Get the quality of the KLT.
`getKltWindowSize`	Get the size of the window used in the KLT tracker.
`getLodMinLineLengthThreshold`	Get the minimum line length to track a segment when LOD is enabled.
`getLodMinPolygonAreaThreshold`	Get the minimum polygon area to track a face when LOD is enabled.
`getLodState`	Get the state of LOD setting.
`getNearClippingDistance`	Get the near clipping distance.
`getProjectionErrorKernelSize`
`getProjectionErrorMe`	Get ME parameters for projection error computation.
`hasFarClippingDistance`	Has Far clipping been specified?
`hasNearClippingDistance`	Has Near clipping been specified?
`parse`	Parse an XML config file that contains parameters for the Generic Model-Based Tracker.
`setAngleAppear`	Set the angle to determine if a face appeared.
`setAngleDisappear`	Set the angle to determine if a face disappeared.
`setCameraParameters`	Set camera parameters.
`setDepthDenseSamplingStepX`	Set depth dense sampling step in X.
`setDepthDenseSamplingStepY`	Set depth dense sampling step in Y.
`setDepthNormalFeatureEstimationMethod`	Set depth normal feature estimation method.
`setDepthNormalPclPlaneEstimationMethod`	Set depth normal PCL plane estimation method.
`setDepthNormalPclPlaneEstimationRansacMaxIter`	Set depth normal PCL RANSAC maximum number of iterations.
`setDepthNormalPclPlaneEstimationRansacThreshold`	Set depth normal PCL RANSAC threshold.
`setDepthNormalSamplingStepX`	Set depth normal sampling step in X.
`setDepthNormalSamplingStepY`	Set depth normal sampling step in Y.
`setEdgeMe`	Set moving edge parameters.
`setFarClippingDistance`	Set the far clipping distance.
`setKltBlockSize`	Set the size of a block.
`setKltHarrisParam`	Set the Harris free parameter.
`setKltMaskBorder`	Set the Border of the mask.
`setKltMaxFeatures`	Set the maximum number of features for the KLT.
`setKltMinDistance`	Set the minimum distance between KLT points.
`setKltPyramidLevels`	Set the number of pyramid levels
`setKltQuality`	Set the quality of the KLT.
`setKltWindowSize`	Set the size of the window used in the KLT tracker.
`setNearClippingDistance`	Set the near clipping distance.
`setProjectionErrorKernelSize`	Set kernel size used for projection error computation.
`setProjectionErrorMe`	Set ME parameters for projection error computation.
`setVerbose`	Set verbose mode (print tracker configuration in the standard output if set).

Inherited Methods

Operators

`__doc__`
`__init__`
`__module__`

Attributes

`DEPTH_DENSE_PARSER`
`DEPTH_NORMAL_PARSER`
`EDGE_PARSER`
`KLT_PARSER`
`PROJECTION_ERROR_PARSER`
`__annotations__`

class ParserType(self, value: int)¶

Bases: pybind11_object

Values:

EDGE_PARSER: Parser for model-based tracking using moving edges features.
KLT_PARSER: Parser for model-based tracking using KLT features.
DEPTH_NORMAL_PARSER: Parser for model-based tracking using depth normal features.
DEPTH_DENSE_PARSER: Parser for model-based tracking using depth dense features.
PROJECTION_ERROR_PARSER: Parser for projection error computation parameters.

__and__(self, other: object) → object¶

__eq__(self, other: object) → bool¶

__ge__(self, other: object) → bool¶

__getstate__(self) → int¶

__gt__(self, other: object) → bool¶

__hash__(self) → int¶

__index__(self) → int¶

__init__(self, value: int)¶

__int__(self) → int¶

__invert__(self) → object¶

__le__(self, other: object) → bool¶

__lt__(self, other: object) → bool¶

__ne__(self, other: object) → bool¶

__or__(self, other: object) → object¶

__rand__(self, other: object) → object¶

__ror__(self, other: object) → object¶

__rxor__(self, other: object) → object¶

__setstate__(self, state: int) → None¶

__xor__(self, other: object) → object¶

property name : str¶

__init__(self, type: int = EDGE_PARSER)¶

getAngleAppear(self) → float¶: Get the angle to determine if a face appeared.

getAngleDisappear(self) → float¶: Get the angle to determine if a face disappeared.

getCameraParameters(self, cam: visp._visp.core.CameraParameters) → None¶

getDepthDenseSamplingStepX(self) → int¶: Get depth dense sampling step in X.

getDepthDenseSamplingStepY(self) → int¶: Get depth dense sampling step in Y.

getDepthNormalFeatureEstimationMethod(self) → visp._visp.mbt.MbtFaceDepthNormal.FeatureEstimationType¶: Get depth normal feature estimation method.

getDepthNormalPclPlaneEstimationMethod(self) → int¶: Get depth normal PCL plane estimation method.

getDepthNormalPclPlaneEstimationRansacMaxIter(self) → int¶: Get depth normal PCL maximum number of iterations.

getDepthNormalPclPlaneEstimationRansacThreshold(self) → float¶: Get depth normal PCL RANSAC threshold.

getDepthNormalSamplingStepX(self) → int¶: Get depth normal sampling step in X.

getDepthNormalSamplingStepY(self) → int¶: Get depth normal sampling step in Y.

getEdgeMe(self, ecm: visp._visp.me.Me) → None¶: Get moving edge parameters.

getFarClippingDistance(self) → float¶: Get the far clipping distance.

getFovClipping(self) → bool¶: Get if FOV clipping should be used or not.

getKltBlockSize(self) → int¶: Get the size of a block.

getKltHarrisParam(self) → float¶: Get the Harris free parameter.

getKltMaskBorder(self) → int¶: Get the Border of the mask.

getKltMaxFeatures(self) → int¶: Get the maximum number of features for the KLT.

getKltMinDistance(self) → float¶: Get the minimum distance between KLT points.

getKltPyramidLevels(self) → int¶: Get the number of pyramid levels

getKltQuality(self) → float¶: Get the quality of the KLT.

getKltWindowSize(self) → int¶: Get the size of the window used in the KLT tracker.

getLodMinLineLengthThreshold(self) → float¶: Get the minimum line length to track a segment when LOD is enabled.

getLodMinPolygonAreaThreshold(self) → float¶: Get the minimum polygon area to track a face when LOD is enabled.

getLodState(self) → bool¶: Get the state of LOD setting.

getNearClippingDistance(self) → float¶: Get the near clipping distance.

getProjectionErrorKernelSize(self) → int¶

getProjectionErrorMe(self, me: visp._visp.me.Me) → None¶: Get ME parameters for projection error computation.

hasFarClippingDistance(self) → bool¶

Has Far clipping been specified?

Returns:: True if yes, False otherwise.

hasNearClippingDistance(self) → bool¶

Has Near clipping been specified?

Returns:: True if yes, False otherwise.

parse(self, filename: str) → None¶

Parse an XML config file that contains parameters for the Generic Model-Based Tracker.

Parameters:

filename: str¶: Document to parse.

setAngleAppear(self, aappear: float) → None¶

Set the angle to determine if a face appeared.

Parameters:

aappear: float¶: New angleAppear

setAngleDisappear(self, adisappear: float) → None¶

Set the angle to determine if a face disappeared.

Parameters:

adisappear: float¶: New angleDisappear

setCameraParameters(self, cam: visp._visp.core.CameraParameters) → None¶

Set camera parameters.

Parameters:

cam: visp._visp.core.CameraParameters¶: New camera parameters

setDepthDenseSamplingStepX(self, stepX: int) → None¶

Set depth dense sampling step in X.

Parameters:

stepX: int¶: New sampling step

setDepthDenseSamplingStepY(self, stepY: int) → None¶

Set depth dense sampling step in Y.

Parameters:

stepY: int¶: New sampling step

setDepthNormalFeatureEstimationMethod(self, method: visp._visp.mbt.MbtFaceDepthNormal.FeatureEstimationType) → None¶

Set depth normal feature estimation method.

Parameters:

method: visp._visp.mbt.MbtFaceDepthNormal.FeatureEstimationType¶: New feature estimation method

setDepthNormalPclPlaneEstimationMethod(self, method: int) → None¶

Set depth normal PCL plane estimation method.

Parameters:

method: int¶: New PCL plane estimation method

setDepthNormalPclPlaneEstimationRansacMaxIter(self, maxIter: int) → None¶

Set depth normal PCL RANSAC maximum number of iterations.

Parameters:

maxIter: int¶: New maximum number of iterations

setDepthNormalPclPlaneEstimationRansacThreshold(self, threshold: float) → None¶

Set depth normal PCL RANSAC threshold.

Parameters:

threshold: float¶: New RANSAC threshold

setDepthNormalSamplingStepX(self, stepX: int) → None¶

Set depth normal sampling step in X.

Parameters:

stepX: int¶: New sampling step

setDepthNormalSamplingStepY(self, stepY: int) → None¶

Set depth normal sampling step in Y.

Parameters:

stepY: int¶: New sampling step

setEdgeMe(self, ecm: visp._visp.me.Me) → None¶: Set moving edge parameters.

setFarClippingDistance(self, fclip: float) → None¶

Set the far clipping distance.

Parameters:

fclip: float¶: New farClipping

setKltBlockSize(self, bs: int) → None¶

Set the size of a block.

Parameters:

bs: int¶: New blockSize

setKltHarrisParam(self, hp: float) → None¶

Set the Harris free parameter.

Parameters:

hp: float¶: New harrisParam

setKltMaskBorder(self, mb: int) → None¶

Set the Border of the mask.

Parameters:

mb: int¶: = new maskBorder

setKltMaxFeatures(self, mF: int) → None¶

Set the maximum number of features for the KLT.

Parameters:

mF: int¶: New maxFeatures

setKltMinDistance(self, mD: float) → None¶

Set the minimum distance between KLT points.

Parameters:

mD: float¶: New minDist

setKltPyramidLevels(self, pL: int) → None¶

Set the number of pyramid levels

Parameters:

pL: int¶: New pyramidLevels

setKltQuality(self, q: float) → None¶

Set the quality of the KLT.

Parameters:

q: float¶: New quality

setKltWindowSize(self, w: int) → None¶

Set the size of the window used in the KLT tracker.

Parameters:

w: int¶: New winSize

setNearClippingDistance(self, nclip: float) → None¶

Set the near clipping distance.

Parameters:

nclip: float¶: New nearClipping

setProjectionErrorKernelSize(self, size: int) → None¶

Set kernel size used for projection error computation.

Parameters:

size: int¶: Kernel size computed as kernel_size = size*2 + 1

setProjectionErrorMe(self, me: visp._visp.me.Me) → None¶

Set ME parameters for projection error computation.

Parameters:

me: visp._visp.me.Me¶: ME parameters

setVerbose(self, verbose: bool) → None¶

Set verbose mode (print tracker configuration in the standard output if set).

Parameters:

verbose: bool¶: verbose flag