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IVALab Python Libraries
Collection of code for computer vision and robotics with specific API.
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Specification data class that describes the planar cut classifier and its functional properties. More...


Public Member Functions | |
| def | __init__ (self, n=None, d=None, tau=None, vectorize=True) |
| def | adjustThreshold (self, ntau) |
| def | offsetThreshold (self, dtau) |
| def | saveTo (self, fPtr) |
Public Member Functions inherited from SurfaceCutModel | |
| def | __init__ (self) |
Static Public Member Functions | |
| def | build_model (n, d, tau, isVectorized=True) |
| Build a model given the arguments as specifications. More... | |
| def | buildFromCfg (theParms, tau=0, isVectorized=True) |
| Build a PlanarModel instance from a configuration node. More... | |
| def | loadFrom (fptr) |
Public Attributes | |
| classify | |
| d | |
| margin | |
| n | |
| tau | |
| vectorize | |
Specification data class that describes the planar cut classifier and its functional properties.
| def __init__ | ( | self, | |
n = None, |
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d = None, |
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tau = None, |
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vectorize = True |
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| ) |
| def adjustThreshold | ( | self, | |
| ntau | |||
| ) |
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static |
Build a model given the arguments as specifications.
| [in] | n | Normal vector. |
| [in] | d | Separating boundary offset. |
| [in] | tau | Threshold/one-side margin. |
| [in] | isVectorized | Boolean: operation should be vectorized or not. Default is True. |
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static |
Build a PlanarModel instance from a configuration node.
| [out] | pModel | Instantiated planar model classifier. |
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static |
| def offsetThreshold | ( | self, | |
| dtau | |||
| ) |
| def saveTo | ( | self, | |
| fPtr | |||
| ) |
| classify |
| d |
| margin |
| n |
| tau |
| vectorize |