get_generic_shape_model_paramT_get_generic_shape_model_paramGetGenericShapeModelParamGetGenericShapeModelParamget_generic_shape_model_param (算子名称)
名称
get_generic_shape_model_paramT_get_generic_shape_model_paramGetGenericShapeModelParamGetGenericShapeModelParamget_generic_shape_model_param — Return the parameters of a shape model.
参数签名
def get_generic_shape_model_param(model_id: HHandle, gen_param_name: Sequence[str]) -> Sequence[Union[int, float, str]]
描述
该算子 get_generic_shape_model_paramget_generic_shape_model_paramGetGenericShapeModelParamGetGenericShapeModelParamGetGenericShapeModelParamget_generic_shape_model_param returns the parameters
values GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value of GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name for the shape model
ModelIDModelIDModelIDModelIDmodelIDmodel_id.
For an explanation of the settable GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value, see
set_generic_shape_model_paramset_generic_shape_model_paramSetGenericShapeModelParamSetGenericShapeModelParamSetGenericShapeModelParamset_generic_shape_model_param.
Additional parameters whose value can only be retrieved:
该算子 get_generic_shape_model_paramget_generic_shape_model_paramGetGenericShapeModelParamGetGenericShapeModelParamGetGenericShapeModelParamget_generic_shape_model_param 返回值 as it is
used by the shape model.
As certain parameters may be modified after calling
train_generic_shape_modeltrain_generic_shape_modelTrainGenericShapeModelTrainGenericShapeModelTrainGenericShapeModeltrain_generic_shape_model, their value can differ from the set value.
This applies particularly to parameters whose value is to be determined
automatically, e.g., with values set to 'auto'"auto""auto""auto""auto""auto".
The (unmodified) set value of a GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name can be retrieved by
adding the suffix '_param' to its name.
Example: After calling train_generic_shape_modeltrain_generic_shape_modelTrainGenericShapeModelTrainGenericShapeModelTrainGenericShapeModeltrain_generic_shape_model,
'num_levels'"num_levels""num_levels""num_levels""num_levels""num_levels" returns the estimated value
and 'num_levels_param'"num_levels_param""num_levels_param""num_levels_param""num_levels_param""num_levels_param" returns the set value, e.g., its value
set by default or the one set by the user.
运行信息
- 多线程类型:可重入(与非独占操作符并行运行)。
- 多线程作用域:全局(可以从任何线程调用)。
- 未经并行化处理。
This operator modifies the state of the following input parameter:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
参数表
ModelIDModelIDModelIDModelIDmodelIDmodel_id (input_control, state is modified) shape_model → HShapeModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the shape model.
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) attribute.name-array → HTupleSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Parameter name.
Default:
'min_score'
"min_score"
"min_score"
"min_score"
"min_score"
"min_score"
List of values:
'angle_end'"angle_end""angle_end""angle_end""angle_end""angle_end", 'angle_start'"angle_start""angle_start""angle_start""angle_start""angle_start", 'angle_step'"angle_step""angle_step""angle_step""angle_step""angle_step", 'border_shape_models'"border_shape_models""border_shape_models""border_shape_models""border_shape_models""border_shape_models", 'clutter_border_mode'"clutter_border_mode""clutter_border_mode""clutter_border_mode""clutter_border_mode""clutter_border_mode", 'clutter_contrast'"clutter_contrast""clutter_contrast""clutter_contrast""clutter_contrast""clutter_contrast", 'clutter_hom_mat_2d'"clutter_hom_mat_2d""clutter_hom_mat_2d""clutter_hom_mat_2d""clutter_hom_mat_2d""clutter_hom_mat_2d", 'contrast_high'"contrast_high""contrast_high""contrast_high""contrast_high""contrast_high", 'contrast_low'"contrast_low""contrast_low""contrast_low""contrast_low""contrast_low", 'greediness'"greediness""greediness""greediness""greediness""greediness", 'iso_scale_max'"iso_scale_max""iso_scale_max""iso_scale_max""iso_scale_max""iso_scale_max", 'iso_scale_min'"iso_scale_min""iso_scale_min""iso_scale_min""iso_scale_min""iso_scale_min", 'iso_scale_step'"iso_scale_step""iso_scale_step""iso_scale_step""iso_scale_step""iso_scale_step", 'max_clutter'"max_clutter""max_clutter""max_clutter""max_clutter""max_clutter", 'max_deformation'"max_deformation""max_deformation""max_deformation""max_deformation""max_deformation", 'max_overlap'"max_overlap""max_overlap""max_overlap""max_overlap""max_overlap", 'max_overlap_global_enable'"max_overlap_global_enable""max_overlap_global_enable""max_overlap_global_enable""max_overlap_global_enable""max_overlap_global_enable", 'metric'"metric""metric""metric""metric""metric", 'min_contrast'"min_contrast""min_contrast""min_contrast""min_contrast""min_contrast", 'min_score'"min_score""min_score""min_score""min_score""min_score", 'min_size'"min_size""min_size""min_size""min_size""min_size", 'model_cache'"model_cache""model_cache""model_cache""model_cache""model_cache", 'model_identifier'"model_identifier""model_identifier""model_identifier""model_identifier""model_identifier", 'needs_training'"needs_training""needs_training""needs_training""needs_training""needs_training", 'num_levels'"num_levels""num_levels""num_levels""num_levels""num_levels", 'num_matches'"num_matches""num_matches""num_matches""num_matches""num_matches", 'optimization'"optimization""optimization""optimization""optimization""optimization", 'origin_column'"origin_column""origin_column""origin_column""origin_column""origin_column", 'origin_row'"origin_row""origin_row""origin_row""origin_row""origin_row", 'prepare_clutter_region_for_visualization'"prepare_clutter_region_for_visualization""prepare_clutter_region_for_visualization""prepare_clutter_region_for_visualization""prepare_clutter_region_for_visualization""prepare_clutter_region_for_visualization", 'prepare_contours_for_visualization'"prepare_contours_for_visualization""prepare_contours_for_visualization""prepare_contours_for_visualization""prepare_contours_for_visualization""prepare_contours_for_visualization", 'pyramid_level_highest'"pyramid_level_highest""pyramid_level_highest""pyramid_level_highest""pyramid_level_highest""pyramid_level_highest", 'pyramid_level_lowest'"pyramid_level_lowest""pyramid_level_lowest""pyramid_level_lowest""pyramid_level_lowest""pyramid_level_lowest", 'pyramid_level_robust_tracking'"pyramid_level_robust_tracking""pyramid_level_robust_tracking""pyramid_level_robust_tracking""pyramid_level_robust_tracking""pyramid_level_robust_tracking", 'restrict_iso_scale_max'"restrict_iso_scale_max""restrict_iso_scale_max""restrict_iso_scale_max""restrict_iso_scale_max""restrict_iso_scale_max", 'restrict_iso_scale_min'"restrict_iso_scale_min""restrict_iso_scale_min""restrict_iso_scale_min""restrict_iso_scale_min""restrict_iso_scale_min", 'restrict_scale_column_max'"restrict_scale_column_max""restrict_scale_column_max""restrict_scale_column_max""restrict_scale_column_max""restrict_scale_column_max", 'restrict_scale_column_min'"restrict_scale_column_min""restrict_scale_column_min""restrict_scale_column_min""restrict_scale_column_min""restrict_scale_column_min", 'restrict_scale_row_max'"restrict_scale_row_max""restrict_scale_row_max""restrict_scale_row_max""restrict_scale_row_max""restrict_scale_row_max", 'restrict_scale_row_min'"restrict_scale_row_min""restrict_scale_row_min""restrict_scale_row_min""restrict_scale_row_min""restrict_scale_row_min", 'scale_column_max'"scale_column_max""scale_column_max""scale_column_max""scale_column_max""scale_column_max", 'scale_column_min'"scale_column_min""scale_column_min""scale_column_min""scale_column_min""scale_column_min", 'scale_column_step'"scale_column_step""scale_column_step""scale_column_step""scale_column_step""scale_column_step", 'scale_row_max'"scale_row_max""scale_row_max""scale_row_max""scale_row_max""scale_row_max", 'scale_row_min'"scale_row_min""scale_row_min""scale_row_min""scale_row_min""scale_row_min", 'scale_row_step'"scale_row_step""scale_row_step""scale_row_step""scale_row_step""scale_row_step", 'scale_type'"scale_type""scale_type""scale_type""scale_type""scale_type", 'strict_boundaries'"strict_boundaries""strict_boundaries""strict_boundaries""strict_boundaries""strict_boundaries", 'subpixel'"subpixel""subpixel""subpixel""subpixel""subpixel", 'time_measurement'"time_measurement""time_measurement""time_measurement""time_measurement""time_measurement", 'timeout'"timeout""timeout""timeout""timeout""timeout", 'use_clutter'"use_clutter""use_clutter""use_clutter""use_clutter""use_clutter"
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (output_control) attribute.value-array → HTupleSequence[Union[int, float, str]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)
Parameter value.
结果
如果参数均有效，算子
get_generic_shape_model_paramget_generic_shape_model_paramGetGenericShapeModelParamGetGenericShapeModelParamGetGenericShapeModelParamget_generic_shape_model_param 返回值 2 (
H_MSG_TRUE)
.
If necessary an exception is raised.
可能的前置算子
create_generic_shape_modelcreate_generic_shape_modelCreateGenericShapeModelCreateGenericShapeModelCreateGenericShapeModelcreate_generic_shape_model,
set_generic_shape_model_paramset_generic_shape_model_paramSetGenericShapeModelParamSetGenericShapeModelParamSetGenericShapeModelParamset_generic_shape_model_param,
train_generic_shape_modeltrain_generic_shape_modelTrainGenericShapeModelTrainGenericShapeModelTrainGenericShapeModeltrain_generic_shape_model
模块
Matching