get_features_ocr_class_mlp — Compute the features of a character.
get_features_ocr_class_mlp computes the features of the character given by Character with the OCR classifier OCRHandle and returns them in Features. In contrast to do_ocr_single_class_mlp and do_ocr_multi_class_mlp, the character is passed as a single image object. Hence, before calling get_features_ocr_class_mlp, reduce_domain must typically be called. The parameter Transform determines whether the feature transformation specified with Preprocessing in create_ocr_class_mlp for the classifier should be applied (Transform = 'true') or whether the untransformed features should be returned (Transform = 'false'). get_features_ocr_class_mlp can be used to inspect the features that are used for the classification.
Handle of the OCR classifier.
Should the feature vector be transformed with the preprocessing?
Default value: 'true'
List of values: 'true', 'false'
Feature vector of the character.
If the parameters are valid, the operator get_features_ocr_class_mlp returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.