add_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data (Operator)

Name

add_sample_identifier_preparation_dataT_add_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data — Add preparation data to an existing sample identifier.

Warning

add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data is obsolete and is only provided for reasons of backward compatibility. New applications should use the operators for Deep-Learning-based classification instead, for details see Deep Learning / Classification.

Signature

add_sample_identifier_preparation_data(SampleImage : : SampleIdentifier, ObjectIdx, GenParamName, GenParamValue : ObjectSampleIdx)

Description

add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data adds preparation data to an existing sample identifier. This is a prerequisite for the preparation of the sample identifier with the operator prepare_sample_identifierprepare_sample_identifierPrepareSampleIdentifierPrepareSampleIdentifierPrepareSampleIdentifierprepare_sample_identifier.

For an explanation of the concept of sample-based identification see the introduction of chapter Legacy / Identification.

To achieve the maximum identification rate, the internal data structure of the sample identifier must be adapted to the objects to be identified. For this, it is useful to provide sample images of all kinds of objects to be identified.

With each call of add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data, features of one SampleImageSampleImageSampleImageSampleImagesampleImagesample_image are added to the SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifiersample_identifier. The complete preparation data, which consists of all features of all sample images that have been added to the sample identifier with multiple calls of add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data, should cover

all kinds of objects to be identified and
all different views of the objects that may appear during the identification process, sampled to at least 45 degrees.

The domain of the SampleImageSampleImageSampleImageSampleImagesampleImagesample_image should be reduced to the object, which is visible in the image. This is necessary to avoid that the SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifiersample_identifier is adapted to the background of the sample images.

If you cannot provide preparation data that fulfills all of the above mentioned requirements, the sample identifier may be prepared as well, but the identification rate may be slightly worse.

Note that you must provide RGB color images, if the generic parameter 'add_color_info'"add_color_info""add_color_info""add_color_info""add_color_info""add_color_info" has been set to 'true'"true""true""true""true""true" in create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifiercreate_sample_identifier.

Ideally, the images used for preparation and training (see add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataadd_sample_identifier_training_data and train_sample_identifiertrain_sample_identifierTrainSampleIdentifierTrainSampleIdentifierTrainSampleIdentifiertrain_sample_identifier) are identical. This can easily be realized by reusing the preparation data for the training of the SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifiersample_identifier. To be able to reuse the preparation data, the index of the object must be given in ObjectIdxObjectIdxObjectIdxObjectIdxobjectIdxobject_idx. Otherwise, the ObjectIdxObjectIdxObjectIdxObjectIdxobjectIdxobject_idx can be set to 'unknown'"unknown""unknown""unknown""unknown""unknown". See prepare_sample_identifierprepare_sample_identifierPrepareSampleIdentifierPrepareSampleIdentifierPrepareSampleIdentifierprepare_sample_identifier for an explanation on how to reuse preparation data for the training of the sample identifier.

The following generic parameters can be used to influence the behavior of the operator add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data. These parameters and their corresponding values can be specified by using GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name and GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value, respectively. The following values for GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name are possible:

'image_resize_method'"image_resize_method""image_resize_method""image_resize_method""image_resize_method""image_resize_method":

See create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifiercreate_sample_identifier for a description of this parameter.

List of values: 'none'"none""none""none""none""none", 'scale_factor'"scale_factor""scale_factor""scale_factor""scale_factor""scale_factor", 'subsampling_step'"subsampling_step""subsampling_step""subsampling_step""subsampling_step""subsampling_step", 'image_area'"image_area""image_area""image_area""image_area""image_area"

Default value: If the 'image_resize_method'"image_resize_method""image_resize_method""image_resize_method""image_resize_method""image_resize_method" is not set explicitly by this operator, the value that has been set with create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifiercreate_sample_identifier or set_sample_identifier_paramset_sample_identifier_paramSetSampleIdentifierParamSetSampleIdentifierParamSetSampleIdentifierParamset_sample_identifier_param will be used.

'image_resize_value'"image_resize_value""image_resize_value""image_resize_value""image_resize_value""image_resize_value":

See create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifiercreate_sample_identifier for a description of this parameter.

Suggested values: 0.25, 0.5, 1.0, 2, 3, 4

Default value: If the 'image_resize_value'"image_resize_value""image_resize_value""image_resize_value""image_resize_value""image_resize_value" is not set explicitly by this operator, the value that has been set with create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifiercreate_sample_identifier or set_sample_identifier_paramset_sample_identifier_paramSetSampleIdentifierParamSetSampleIdentifierParamSetSampleIdentifierParamset_sample_identifier_param will be used.

add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data returns the object sample index of the preparation sample given in SampleImageSampleImageSampleImageSampleImagesampleImagesample_image. This index can, e.g., be used to remove this sample from the preparation data, if the sample identifier should be prepared based on a different set of preparation data.

Execution Information

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Automatically parallelized on internal data level.

Parameters

SampleImageSampleImageSampleImageSampleImagesampleImagesample_image (input_object) (multichannel-)image → object (byte)

Image that shows an object.

SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifiersample_identifier (input_control) sample_identifier → (handle)

Handle of the sample identifier.

ObjectIdxObjectIdxObjectIdxObjectIdxobjectIdxobject_idx (input_control) integer → (integer / string)

Index of the object visible in the SampleImageSampleImageSampleImageSampleImagesampleImagesample_image.

Default value: 'unknown' "unknown" "unknown" "unknown" "unknown" "unknown"

Suggested values: 'unknown'"unknown""unknown""unknown""unknown""unknown", 0, 1, 2, 3, 4, 5

GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) attribute.name-array → (string)

Generic parameter name.

Default value: []

List of values: 'image_resize_method'"image_resize_method""image_resize_method""image_resize_method""image_resize_method""image_resize_method", 'image_resize_value'"image_resize_value""image_resize_value""image_resize_value""image_resize_value""image_resize_value"

GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (input_control) attribute.value-array → (real / string / integer)

Generic parameter value.

Default value: []

Suggested values: 'none'"none""none""none""none""none", 'scale_factor'"scale_factor""scale_factor""scale_factor""scale_factor""scale_factor", 'subsampling_step'"subsampling_step""subsampling_step""subsampling_step""subsampling_step""subsampling_step", 'image_area'"image_area""image_area""image_area""image_area""image_area", 0.25, 0.5, 0.75, 1.0, 2, 3, 4

ObjectSampleIdxObjectSampleIdxObjectSampleIdxObjectSampleIdxobjectSampleIdxobject_sample_idx (output_control) integer → (integer)

Index of the object sample.

Result

If the parameters are valid, the operator add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataadd_sample_identifier_preparation_data returns the value 2 (H_MSG_TRUE). If necessary an exception is raised.