get_variation_modelT_get_variation_modelGetVariationModelGetVariationModelget_variation_model (Operator)
Name
get_variation_modelT_get_variation_modelGetVariationModelGetVariationModelget_variation_model — Return the images used for image comparison by a variation model.
Signature
def get_variation_model(model_id: HHandle) -> Tuple[HObject, HObject]
Description
get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModelget_variation_model returns the image of the ideal object
and the corresponding variation image of the variation model
ModelIDModelIDModelIDModelIDmodelIDmodel_id in ImageImageImageImageimageimage and VarImageVarImageVarImageVarImagevarImagevar_image,
respectively. The returned images can be used to check whether an
image of a bad object has been trained with
train_variation_modeltrain_variation_modelTrainVariationModelTrainVariationModelTrainVariationModeltrain_variation_model. 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.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Parameters
ImageImageImageImageimageimage (output_object) image → objectHImageHObjectHImageHobject * (byte / int2 / uint2)
Image of the trained object.
VarImageVarImageVarImageVarImagevarImagevar_image (output_object) image → objectHImageHObjectHImageHobject * (real)
Variation image of the trained object.
ModelIDModelIDModelIDModelIDmodelIDmodel_id (input_control) variation_model → HVariationModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
ID of the variation model.
Result
get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModelget_variation_model returns TRUE if all parameters are
correct.
Possible Predecessors
train_variation_modeltrain_variation_modelTrainVariationModelTrainVariationModelTrainVariationModeltrain_variation_model
See also
prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelPrepareVariationModelprepare_variation_model,
compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelCompareVariationModelcompare_variation_model,
compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModelCompareExtVariationModelcompare_ext_variation_model
Module
Matching