ConvolutionKernel¶
Inheritance diagram¶

Classes¶
ConvolutionKernel¶
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class
ORSModel.ors.
ConvolutionKernel
¶ Bases:
ORSModel.ors.Unmanaged
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createFromPythonRepresentation
(aPythonRepresentation: str) → ConvolutionKernel¶ Create aConvolutionKernel from a python representation a static method.
Parameters: aPythonRepresentation (str) – Returns: output (ORSModel.ors.ConvolutionKernel) –
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fromPythonRepresentation
(self, aPythonRepresentation: str) → bool¶ set aConvolutionKernel from a python representation
Parameters: aPythonRepresentation (str) – Returns: output (bool) –
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getClassNameStatic
() → str¶ getClassNameStatic
Returns: output (str) –
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getElementSummation
(self) → float¶ Returns: output (float) –
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getIs1DKernel
(self) → bool¶ Returns: output (bool) –
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getIs2DKernel
(self) → bool¶ Returns: output (bool) –
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getIs3DKernel
(self) → bool¶ Returns: output (bool) –
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getIsEqualTo
(self, aConvolutionKernel: ORSModel.ors.ConvolutionKernel) → bool¶ Checks for equality to another kernel.
Parameters: aConvolutionKernel (ORSModel.ors.ConvolutionKernel) – a kernel (a ConvolutionKernel) Returns: output (bool) – TRUE if the kernels are equal, FALSE otherwise
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getKernelStarPoint
(self, pIndexX: int, pIndexY: int, pIndexZ: int) → None¶ Parameters: - pIndexX (int) –
- pIndexY (int) –
- pIndexZ (int) –
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getKernelXSize
(self) → int¶ Returns: output (int) –
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getKernelYSize
(self) → int¶ Returns: output (int) –
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getKernelZSize
(self) → int¶ Returns: output (int) –
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getPythonRepresentation
(self) → str¶ Returns: output (str) –
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getValueAt
(self, indexX: int, indexY: int, indexZ: int) → float¶ Parameters: - indexX (int) –
- indexY (int) –
- indexZ (int) –
Returns: output (float) –
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initializeAs1DKernel
(self, indexX: int) → None¶ Parameters: indexX (int) –
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initializeAs2DKernel
(self, indexX: int, indexY: int) → None¶ Parameters: - indexX (int) –
- indexY (int) –
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initializeAs3DKernel
(self, indexX: int, indexY: int, indexZ: int) → None¶ Parameters: - indexX (int) –
- indexY (int) –
- indexZ (int) –
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multiplyAllElementBy
(self, aValue: float) → None¶ Parameters: aValue (float) –
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none
() → ConvolutionKernel¶ Returns: output (ConvolutionKernel) –
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setAsGaussianWithMinimumUnnormalizedSmallestValue
(self, aValue: float) → None¶ Parameters: aValue (float) –
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setAsGaussianWithStandarDeviation
(self, sigma: float) → None¶ Parameters: sigma (float) –
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setKernelStarPoint
(self, indexX: int, indexY: int, indexZ: int) → None¶ Parameters: - indexX (int) –
- indexY (int) –
- indexZ (int) –
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setValueAt
(self, indexX: int, indexY: int, indexZ: int, aValue: float) → None¶ Parameters: - indexX (int) –
- indexY (int) –
- indexZ (int) –
- aValue (float) –
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Unmanaged¶
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class
ORSModel.ors.
Unmanaged
Bases:
ORSModel.ors.ORSBaseClass
brief_description: Abstract class for objects that are not managed by the core library. author: Eric Fournier. All other members of ORS participated. version: 1.0 date: Jan 2005
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atomicLoad
(sFilename: str) → Unmanaged Creates an object from a file where an object was saved.
Parameters: sFilename (str) – path of the file to load Returns: output (Unmanaged) – a managed object, or none() if the load fails
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atomicSave
(self, aFilename: str) → int Saves the object to a file.
Parameters: aFilename (str) – path of the file to save Returns: output (int) – 0 if successful, otherwise an error code
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createFromPythonRepresentation
(aPythonRepresentation: str) → Unmanaged Create aUnmanaged Object from a python representation a static method.
Parameters: aPythonRepresentation (str) – Returns: output (ORSModel.ors.Unmanaged) –
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classmethod
getAllSubclasses
(outputCollection=None)
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classmethod
getClassDenomination
()
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static
getClassFromProgId
(progId)
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getClassName
(self) → str Retrieves the class name of the core object wrapped by this Interface object.
Returns: output (str) –
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getClassNameStatic
() → str getClassNameStatic
Returns: output (str) –
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getIsInstanceOf
(self, pProgId: str) → bool Queries the object to know if it is an instance of a certain class.
Parameters: pProgId (str) – Returns: output (bool) –
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classmethod
getIsSubclassOf
(parentClass)
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isNone
(self) → bool Checks if the receiver is none.
Returns: output (bool) –
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isNotNone
(self) → bool Checks if the receiver is not none.
Returns: output (bool) –
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none
() → Unmanaged Returns: output (Unmanaged) –
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ORSBaseClass¶
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class
ORSModel.ors.
ORSBaseClass
brief_description: An abstract class from which all objects issued from the author: Eric Fournier. All other members of ORS participated. version: 1.0 date: Jan 2005
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getPythonTraceBack
() → typing.List[str] Set the python traceback for a call from python.
Returns: output (typing.List[str]) –
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isManaged
(self) → bool Returns: output (bool) –
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isNone
(self) → bool Returns: output (bool) –
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setPythonTraceBack
(tb: ORSModel.ors.typing.List[str]) → None Set the python traceback for a call from python.
Parameters: tb (typing.List[str]) –
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