Name
add_sample_identifier_training_dataT_add_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData — Add training data to an existing sample identifier.
void AddSampleIdentifierTrainingData(const HObject& SampleImage, const HTuple& SampleIdentifier, const HTuple& ObjectIdx, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* ObjectSampleIdx)
Hlong HImage::AddSampleIdentifierTrainingData(const HSampleIdentifier& SampleIdentifier, const HTuple& ObjectIdx, const HTuple& GenParamName, const HTuple& GenParamValue) const
Hlong HImage::AddSampleIdentifierTrainingData(const HSampleIdentifier& SampleIdentifier, Hlong ObjectIdx, const HTuple& GenParamName, const HTuple& GenParamValue) const
Hlong HSampleIdentifier::AddSampleIdentifierTrainingData(const HImage& SampleImage, const HTuple& ObjectIdx, const HTuple& GenParamName, const HTuple& GenParamValue) const
Hlong HSampleIdentifier::AddSampleIdentifierTrainingData(const HImage& SampleImage, Hlong ObjectIdx, const HTuple& GenParamName, const HTuple& GenParamValue) const
static void HOperatorSet.AddSampleIdentifierTrainingData(HObject sampleImage, HTuple sampleIdentifier, HTuple objectIdx, HTuple genParamName, HTuple genParamValue, out HTuple objectSampleIdx)
int HImage.AddSampleIdentifierTrainingData(HSampleIdentifier sampleIdentifier, HTuple objectIdx, HTuple genParamName, HTuple genParamValue)
int HImage.AddSampleIdentifierTrainingData(HSampleIdentifier sampleIdentifier, int objectIdx, HTuple genParamName, HTuple genParamValue)
int HSampleIdentifier.AddSampleIdentifierTrainingData(HImage sampleImage, HTuple objectIdx, HTuple genParamName, HTuple genParamValue)
int HSampleIdentifier.AddSampleIdentifierTrainingData(HImage sampleImage, int objectIdx, HTuple genParamName, HTuple genParamValue)
add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData adds training data to an
existing sample identifier. This is a prerequisite for the training of the
sample identifier with the operator train_sample_identifiertrain_sample_identifierTrainSampleIdentifierTrainSampleIdentifierTrainSampleIdentifier.
For an explanation of the concept of sample-based identification
see the introduction of chapter Identification / Sample-Based.
In order to be able to identify objects, the SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifier must
be trained with a representative set of sample images of the objects to be
identified. These sample images must be added to the
SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifier with add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData.
With each call of add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData, one
SampleImageSampleImageSampleImageSampleImagesampleImage is added to the SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifier. The complete
training data, which consists of all the sample images that have been added
to the sample identifier with multiple calls of
add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData, must cover
-
all objects to be identified and
-
all different views of the objects that may appear during the
identification process, sampled to at least 45°.
The domain of the SampleImageSampleImageSampleImageSampleImagesampleImage should be reduced to the object,
which is visible in the image. This is necessary to avoid that the
SampleIdentifierSampleIdentifierSampleIdentifierSampleIdentifiersampleIdentifier is trained to the background of the sample images.
Note that in contrast to the preparation data, it is essential that the
requirements mentioned above are fulfilled. Otherwise, the sample identifier
will not be able to identify the objects for which relevant sample images
are missing.
Also 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" has been set to 'true'"true""true""true""true" in
create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier.
Ideally, the images used for preparation and training (see
add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationData and
prepare_sample_identifierprepare_sample_identifierPrepareSampleIdentifierPrepareSampleIdentifierPrepareSampleIdentifier) are identical. See
prepare_sample_identifierprepare_sample_identifierPrepareSampleIdentifierPrepareSampleIdentifierPrepareSampleIdentifier 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_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData. These parameters
and their corresponding values can be specified by using
GenParamNameGenParamNameGenParamNameGenParamNamegenParamName and GenParamValueGenParamValueGenParamValueGenParamValuegenParamValue, respectively. The
following values for GenParamNameGenParamNameGenParamNameGenParamNamegenParamName are possible:
- 'image_resize_method'"image_resize_method""image_resize_method""image_resize_method""image_resize_method":
-
See
create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier for a description of this parameter.
List of values: 'none'"none""none""none""none", 'scale_factor'"scale_factor""scale_factor""scale_factor""scale_factor",
'subsampling_step'"subsampling_step""subsampling_step""subsampling_step""subsampling_step", '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" is not set
explicitly by this operator, the value that has been set with
create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier or set_sample_identifier_paramset_sample_identifier_paramSetSampleIdentifierParamSetSampleIdentifierParamSetSampleIdentifierParam
will be used.
- 'image_resize_value'"image_resize_value""image_resize_value""image_resize_value""image_resize_value":
-
See create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier
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" is not set
explicitly by this operator, the value that has been set with
create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier or set_sample_identifier_paramset_sample_identifier_paramSetSampleIdentifierParamSetSampleIdentifierParamSetSampleIdentifierParam
will be used.
add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData returns the object sample index
of the training sample given in SampleImageSampleImageSampleImageSampleImagesampleImage. This index can, e.g.,
be used to remove this sample from the training data, if the sample
identifier should be retrained based on a different set of training data.
- 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.
Image that shows an object.
Handle of the sample identifier.
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_value'"image_resize_value""image_resize_value""image_resize_value""image_resize_value"
Generic parameter value.
Default value: []
Suggested values: 'none'"none""none""none""none", 'scale_factor'"scale_factor""scale_factor""scale_factor""scale_factor", 'subsampling_step'"subsampling_step""subsampling_step""subsampling_step""subsampling_step", 'image_area'"image_area""image_area""image_area""image_area", 0.25, 0.5, 0.75, 1.0, 2, 3, 4
Index of the object sample.
If the parameters are valid, the operator
add_sample_identifier_training_dataadd_sample_identifier_training_dataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingDataAddSampleIdentifierTrainingData returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
prepare_sample_identifierprepare_sample_identifierPrepareSampleIdentifierPrepareSampleIdentifierPrepareSampleIdentifier,
read_sample_identifierread_sample_identifierReadSampleIdentifierReadSampleIdentifierReadSampleIdentifier
train_sample_identifiertrain_sample_identifierTrainSampleIdentifierTrainSampleIdentifierTrainSampleIdentifier
read_sample_identifierread_sample_identifierReadSampleIdentifierReadSampleIdentifierReadSampleIdentifier
create_sample_identifiercreate_sample_identifierCreateSampleIdentifierCreateSampleIdentifierCreateSampleIdentifier,
add_sample_identifier_preparation_dataadd_sample_identifier_preparation_dataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationDataAddSampleIdentifierPreparationData,
apply_sample_identifierapply_sample_identifierApplySampleIdentifierApplySampleIdentifierApplySampleIdentifier,
set_sample_identifier_paramset_sample_identifier_paramSetSampleIdentifierParamSetSampleIdentifierParamSetSampleIdentifierParam,
get_sample_identifier_paramget_sample_identifier_paramGetSampleIdentifierParamGetSampleIdentifierParamGetSampleIdentifierParam,
get_sample_identifier_object_infoget_sample_identifier_object_infoGetSampleIdentifierObjectInfoGetSampleIdentifierObjectInfoGetSampleIdentifierObjectInfo,
remove_sample_identifier_preparation_dataremove_sample_identifier_preparation_dataRemoveSampleIdentifierPreparationDataRemoveSampleIdentifierPreparationDataRemoveSampleIdentifierPreparationData,
remove_sample_identifier_training_dataremove_sample_identifier_training_dataRemoveSampleIdentifierTrainingDataRemoveSampleIdentifierTrainingDataRemoveSampleIdentifierTrainingData,
write_sample_identifierwrite_sample_identifierWriteSampleIdentifierWriteSampleIdentifierWriteSampleIdentifier,
serialize_sample_identifierserialize_sample_identifierSerializeSampleIdentifierSerializeSampleIdentifierSerializeSampleIdentifier,
deserialize_sample_identifierdeserialize_sample_identifierDeserializeSampleIdentifierDeserializeSampleIdentifierDeserializeSampleIdentifier,
clear_sample_identifierclear_sample_identifierClearSampleIdentifierClearSampleIdentifierClearSampleIdentifier,
set_sample_identifier_object_infoset_sample_identifier_object_infoSetSampleIdentifierObjectInfoSetSampleIdentifierObjectInfoSetSampleIdentifierObjectInfo
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