get_variation_model🔗
Short description🔗
get_variation_model — Return the images used for image comparison by a variation model.
Signature🔗
get_variation_model( out image Image, out image VarImage, variation_model ModelID )
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🔗
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.
Combinations with other operators🔗
Combinations
Possible predecessors
See also
prepare_variation_model, compare_variation_model, compare_ext_variation_model
Module🔗
Matching