Polimago Regression predictor.
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Inherits PredictorBaseEx.
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int | RegressionDimension [get] |
| Regression result dimension.
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int | FeatureResolution [get] |
| Feature resolution value with which the classifier was trained.
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string | FileName [get, protected set] |
| Name of the file the object has been loaded from (or.
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double | Lambda [get] |
| Regularization value that has been used for generating this object.
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double | Offset [get] |
| Intercept weight that has been used for generating this object.
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InterpolationType | Interpolation [get] |
| Interpolation setting used for generating this object.
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int | ImagePlanes [get] |
| The plane count of the images that have been used for generating this classifier. Image on which this classifier is to be used will need to have the same plane count.
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Rect | FeatureWindowExtent [get] |
| The feature window extent that has been used during classifier training.
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Size2D | RetinaSize [get] |
| Size of the "Retina" in paxels. The retina is the set of paxels onto which the input image is projected using the preprocessing code prior to application/training of the classifier.
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Point2Dd | Correction [get] |
| Correction factors in X and Y direction required to rescale the input images for projection onto the retina.
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string | Preprocessing [get] |
| Preprocessing code with which this object was generated.
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IntPtr | Handle [get] |
| Native Manto classifier handle.
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bool | IsDisposed [get] |
| Tests if the native handle has already been disposed.
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Polimago Regression predictor.
◆ RegressionPredictor()
Load a saved Polimago classification classifier from a file.
- Parameters
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fileName | name of the file to be loaded |
- Exceptions
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FileNotFoundException | If the classifier file does not exist |
FileLoadException | If loading an existing classifier file failed |
ArgumentNullException | If fileName is null |
◆ PredictVector()
Calculate a regression result on a given location.
- Parameters
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img | Image to calculate the result in. |
pos | Position in the image referred to by img to be investigated. |
- Returns
- Array that represents the prediction results. The length of that (always 1-dimensional) array depends on the RegressionPredictor's RegressionDimension.