Operator Reference
get_variation_model (Operator)
get_variation_model
— Return the images used for image comparison by a variation model.
Signature
Description
get_variation_model
returns the image of the ideal object
and the corresponding variation image of the variation model
ModelID
in Image
and VarImage
,
respectively. The returned images can be used to check whether an
image of a bad object has been trained with
train_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
Image
(output_object) image →
object (byte / int2 / uint2)
Image of the trained object.
VarImage
(output_object) image →
object (real)
Variation image of the trained object.
ModelID
(input_control) variation_model →
(handle)
ID of the variation model.
Result
get_variation_model
returns 2 (
H_MSG_TRUE)
if all parameters are
correct.
Possible Predecessors
See also
prepare_variation_model
,
compare_variation_model
,
compare_ext_variation_model
Module
Matching