Image that has been added to a training set.
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#include <cvb/minos/training_set.hpp>
Image that has been added to a training set.
◆ CheckConsistency()
Test this image for potentially forgotten instances to be trained.
- Parameters
-
[in] | threshold | Correlation threshold to be used for the consistency check. |
[in] | density | Density to be used for the consistency check. |
- Returns
- Potentially forgotten positive samples that may be added to the training set.
- Exceptions
-
◆ Handle()
Classic API MTSIMAGE handle.
- Returns
- Classic API handle.
- Exceptions
-
Does | not throw any exception. |
It is normally not necessary to work with this handle.
◆ Image()
Image representation of this object.
- Returns
- Image representation.
- Exceptions
-
◆ Index()
Index of this object in the parent's collection.
- Returns
- Index in the collection.
- Exceptions
-
◆ Instances()
The instances belonging to this model.
- Returns
- The instance info collection.
- Exceptions
-
The collection keeps internal link to the classifier, shares resources with it and stays valid even if the classifier object itself gets destroyed.
◆ TransformImageAndInstances()
void TransformImageAndInstances |
( |
Matrix2D |
matrix | ) |
|
|
inline |
Transform this image and all instances trained from this image using a 2x2 matrix.
- Parameters
-
[in] | matrix | Matrix to transform the model with. |
- Exceptions
-