Name
get_variation_modelget_variation_modelGetVariationModelGetVariationModel — Return the images used for image comparison by a variation model.
get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModel returns the image of the ideal object
and the corresponding variation image of the variation model
ModelIDModelIDModelIDModelIDmodelID in ImageImageImageImageimage and VarImageVarImageVarImageVarImagevarImage,
respectively. The returned images can be used to check whether an
image of a bad object has been trained with
train_variation_modeltrain_variation_modelTrainVariationModelTrainVariationModelTrainVariationModel. This can be seen from the variation
image. If an image of a bad object has been trained, the variation
image typically has large variations in areas that should exhibit no
variations.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Image of the trained object.
Variation image of the trained object.
ID of the variation model.
get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModel returns 2 (H_MSG_TRUE) if all parameters are
correct.
train_variation_modeltrain_variation_modelTrainVariationModelTrainVariationModelTrainVariationModel
prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelPrepareVariationModel,
compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelCompareVariationModel,
compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModelCompareExtVariationModel
Matching