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CVBpy 15.1
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CVBpy 15.1
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Base class for Polimago predictors. More...
Inherited by PredictorBase, and TestResultBase.
Public Member Functions | |
| None | save (self, str file_name) |
| Save this object into a file. | |
Properties | |
| correction = property | |
| cvb.Point2D: Correction factors in X and Y direction required to rescale the input images for projection onto the retina. | |
| feature_window_extent = property | |
| cvb.Rect: The feature window extent that has been used during classifier training. | |
| file_name = property | |
| str: Name of the file the object has been loaded from (or empty string if the object was not loaded). | |
| image_planes = property | |
| int: Intercept weight that has been used for generating this object. | |
| interpolation = property | |
| int: Interpolation setting used for generating this object (see cvb.polimago.InterpolationType). | |
| lambda_ = property | |
| float: Regularization value that has been used for generating this object. | |
| offset = property | |
| float: Intercept weight that has been used for generating this object. | |
| preprocessing = property | |
| str: Preprocessing code with which this object was generated. | |
| retina_size = property | |
| cvb.Size2D: Size of the 'Retina' in pixels. | |
Base class for Polimago predictors.
| None save | ( | self, | |
| str | file_name ) |
Save this object into a file.
file_name : str Name of the file to save to.
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static |
cvb.Size2D: Size of the 'Retina' in pixels.
The retina is the set of pixels onto which the input image is projected using the preprocessing code prior to application/training of the classifier.