create_local_deformable_model_xldCreateLocalDeformableModelXldCreateLocalDeformableModelXldcreate_local_deformable_model_xldT_create_local_deformable_model_xld🔗

Short description🔗

create_local_deformable_model_xldCreateLocalDeformableModelXldCreateLocalDeformableModelXldcreate_local_deformable_model_xldT_create_local_deformable_model_xld — Prepare a deformable model for local deformable matching from XLD contours.

Signature🔗

create_local_deformable_model_xld( xld_cont Contours, integer NumLevels, angle.rad AngleStart, angle.rad AngleExtent, angle.rad AngleStep, number ScaleRMin, number ScaleRMax, number ScaleRStep, number ScaleCMin, number ScaleCMax, number ScaleCStep, string Optimization, string Metric, number MinContrast, string GenParamName, integer GenParamValue, out deformable_model ModelID )

Description🔗

The operator create_local_deformable_model_xldCreateLocalDeformableModelXld creates a deformable model used for local deformable matching from the XLD contours passed in Contourscontourscontours. The XLD contours represent the gray-value edges of the object to be searched for. In contrast to the operator create_local_deformable_modelCreateLocalDeformableModel, which creates a deformable model from a template image, the operator create_local_deformable_model_xldCreateLocalDeformableModelXld creates the deformable model from XLD contours.

The center of gravity of the smallest surrounding rectangle of the Contourscontourscontours that is parallel to the coordinate axes is used as the origin (reference point) of the model. A different origin can be set with set_deformable_model_originSetDeformableModelOrigin.

For further explanation on the deformable model and its parameters we refer to the description of create_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModel and create_local_deformable_modelCreateLocalDeformableModel. Note that set_local_deformable_model_metricSetLocalDeformableModelMetric can be used to change the metric of the model.

Attention🔗

Note that, in contrast to the operator create_local_deformable_modelCreateLocalDeformableModel, it is not possible to specify a minimum size of the model components. To avoid small model components in the model, short contours can be eliminated with the operator select_contours_xldSelectContoursXld before calling create_local_deformable_model_xldCreateLocalDeformableModelXld.

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.

This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.

Parameters🔗

Contourscontourscontours (input_object) xld_cont(-array) → objectHObjectHXLDContHObjectHobject

Input contours that will be used to create the model.

NumLevelsnumLevelsnum_levels (input_control) integer → (integer / string)HTuple (Hlong / HString)HTuple (int / long / string)Union[int, str]Htuple (Hlong / char*)

Maximum number of pyramid levels.

Default: 'auto'"auto"
List of values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 'auto'1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "auto"

AngleStartangleStartangle_start (input_control) angle.rad-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

This parameter is not used.

Default: [][]

AngleExtentangleExtentangle_extent (input_control) angle.rad-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

This parameter is not used.

Default: [][]

AngleStepangleStepangle_step (input_control) angle.rad → (real / string)HTuple (double / HString)HTuple (double / string)Union[float, str]Htuple (double / char*)

Step length of the angles (resolution).

Default: 'auto'"auto"
Suggested values: 'auto', 0.0175, 0.0349, 0.0524, 0.0698, 0.0873
Restriction: AngleStep > 0 && AngleStep <= pi/16

ScaleRMinscaleRMinscale_rmin (input_control) number → (real)HTuple (double)HTuple (double)floatHtuple (double)

Minimum scale of the pattern in row direction.

Default: 1.01.0
Suggested values: 0.5, 0.6, 0.7, 0.8, 0.9, 1.00.5, 0.6, 0.7, 0.8, 0.9, 1.0
Restriction: ScaleRMin > 0

ScaleRMaxscaleRMaxscale_rmax (input_control) number-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

This parameter is not used.

Default: [][]

ScaleRStepscaleRStepscale_rstep (input_control) number → (real / string)HTuple (double / HString)HTuple (double / string)Union[float, str]Htuple (double / char*)

Scale step length (resolution) in row direction.

Default: 'auto'"auto"
Suggested values: 'auto', 0.01, 0.02, 0.05, 0.1, 0.15, 0.2
Restriction: ScaleRStep > 0

ScaleCMinscaleCMinscale_cmin (input_control) number → (real)HTuple (double)HTuple (double)floatHtuple (double)

Minimum scale of the pattern in column direction.

Default: 1.01.0
Suggested values: 0.5, 0.6, 0.7, 0.8, 0.9, 1.00.5, 0.6, 0.7, 0.8, 0.9, 1.0
Restriction: ScaleCMin > 0

ScaleCMaxscaleCMaxscale_cmax (input_control) number-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

This parameter is not used.

Default: [][]

ScaleCStepscaleCStepscale_cstep (input_control) number → (real / string)HTuple (double / HString)HTuple (double / string)Union[float, str]Htuple (double / char*)

Scale step length (resolution) in column direction.

Default: 'auto'"auto"
Suggested values: 'auto', 0.01, 0.02, 0.05, 0.1, 0.15, 0.2
Restriction: ScaleCStep > 0

Optimizationoptimizationoptimization (input_control) string(-array) → (string)HTuple (HString)HTuple (string)MaybeSequence[str]Htuple (char*)

Kind of optimization used for generating the model.

Default: 'auto'"auto"
List of values: 'auto', 'none', 'point_reduction_high', 'point_reduction_low', 'point_reduction_medium'

Metricmetricmetric (input_control) string → (string)HTuple (HString)HTuple (string)strHtuple (char*)

Match metric.

Default: 'ignore_local_polarity'"ignore_local_polarity"
List of values: 'ignore_color_polarity', 'ignore_global_polarity', 'ignore_local_polarity', 'ignore_part_polarity', 'use_polarity'

MinContrastminContrastmin_contrast (input_control) number → (integer)HTuple (Hlong)HTuple (int / long)intHtuple (Hlong)

Minimum contrast of the objects in the search images.

Default: 55
Suggested values: 1, 2, 3, 5, 7, 10, 20, 30, 401, 2, 3, 5, 7, 10, 20, 30, 40

GenParamNamegenParamNamegen_param_name (input_control) string-array → (string)HTuple (HString)HTuple (string)Sequence[str]Htuple (char*)

The generic parameter names.

Default: [][]
List of values: [], 'part_size'[], "part_size"

GenParamValuegenParamValuegen_param_value (input_control) integer-array → (integer / real / string)HTuple (Hlong / double / HString)HTuple (int / long / double / string)Sequence[Union[int, float, str]]Htuple (Hlong / double / char*)

Values of the generic parameters.

Default: [][]
List of values: [], 'big', 'medium', 'small'[], "big", "medium", "small"

ModelIDmodelIDmodel_id (output_control) deformable_model → (handle)HTuple (HHandle)HDeformableModel, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the model.

Result🔗

If the parameters are valid, the operator create_local_deformable_model_xldCreateLocalDeformableModelXld returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised. If the parameter NumLevelsnumLevelsnum_levels is chosen such that the model contains too few points, the error 8510 is raised.

Combinations with other operators🔗

Combinations

Possible predecessors

read_contour_xld_dxfReadContourXldDxf, edges_sub_pixEdgesSubPix, select_contours_xldSelectContoursXld

Possible successors

find_local_deformable_modelFindLocalDeformableModel

Module🔗

Matching