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CVBpy 15.1
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CVBpy 15.1
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Predictor to classify patterns with. More...
Inherits PredictorBaseEx.
Public Member Functions | |
| None | ClassificationPredictor (self, str file_name) |
| Load a saved Polimago classification predictor from a file. | |
| Tuple[cvb.polimago.ClassificationResult, List[float]] | classify (self, cvb.Image img, cvb.Point2D pos) |
| Classify a location inside an image. | |
 Public Member Functions inherited from PredictorBase | |
| bool | is_compatible (self, cvb.Image img, cvb.Point2D pos) |
| Verify the compatibility of a CVB image with this classifier. | |
| Public Member Functions inherited from PolimagoFactoryCreatedObject | |
| None | save (self, str file_name) |
| Save this object into a file. | |
Properties | |
| classes = property | |
| List[str]: Class labels available in this predictor. | |
| classification = property | |
| int: The classification type for which this classifier has been generated (see cvb.polimago.ClassificationType). | |
| num_classes = property | |
| int: Number of classes a classification predictor has been trained for. | |
| output_dimension = property | |
| int: Dimension of results generated by this predictor. | |
| Properties inherited from PredictorBaseEx | |
| feature_resolution = property | |
| int: Feature resolution value with which the classifier was trained. | |
| Properties inherited from PolimagoFactoryCreatedObject | |
| 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. | |
Predictor to classify patterns with.
| None ClassificationPredictor | ( | self, | |
| str | file_name ) |
Load a saved Polimago classification predictor from a file.
file_name : str Name of the file to be loaded.
| Tuple[cvb.polimago.ClassificationResult, List[float]] classify | ( | self, | |
| cvb.Image | img, | ||
| cvb.Point2D | pos ) |
Classify a location inside an image.
img : cvb.Image Image to classify in.
pos : cvb.Point2D Position to classify.
Tuple[cvb.polimago.ClassificationResult, List[float]] Tuple containing the classification result and list of floats with confidence distribution.