create_deep_counting_modelT_create_deep_counting_modelCreateDeepCountingModelCreateDeepCountingModelcreate_deep_counting_model (Operator)
Name
create_deep_counting_modelT_create_deep_counting_modelCreateDeepCountingModelCreateDeepCountingModelcreate_deep_counting_model — Create a Deep Counting model for counting objects.
Signature
void CreateDeepCountingModel(const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* DeepCountingHandle)
void HDlModelCounting::HDlModelCounting(const HTuple& GenParamName, const HTuple& GenParamValue)
void HDlModelCounting::HDlModelCounting(const HString& GenParamName, double GenParamValue)
void HDlModelCounting::HDlModelCounting(const char* GenParamName, double GenParamValue)
void HDlModelCounting::HDlModelCounting(const wchar_t* GenParamName, double GenParamValue)
(
Windows only)
void HDlModelCounting::CreateDeepCountingModel(const HTuple& GenParamName, const HTuple& GenParamValue)
void HDlModelCounting::CreateDeepCountingModel(const HString& GenParamName, double GenParamValue)
void HDlModelCounting::CreateDeepCountingModel(const char* GenParamName, double GenParamValue)
void HDlModelCounting::CreateDeepCountingModel(const wchar_t* GenParamName, double GenParamValue)
(
Windows only)
Description
create_deep_counting_modelcreate_deep_counting_modelCreateDeepCountingModelCreateDeepCountingModelcreate_deep_counting_model creates a Deep Counting model and returns
its handle in DeepCountingHandleDeepCountingHandleDeepCountingHandledeepCountingHandledeep_counting_handle.
Internally create_deep_counting_modelcreate_deep_counting_modelCreateDeepCountingModelCreateDeepCountingModelcreate_deep_counting_model builds a backbone based on
the pretrained network 'pretrained_dl_classifier_resnet50.hdl'"pretrained_dl_classifier_resnet50.hdl""pretrained_dl_classifier_resnet50.hdl""pretrained_dl_classifier_resnet50.hdl""pretrained_dl_classifier_resnet50.hdl",
which must be available.
See read_dl_modelread_dl_modelReadDlModelReadDlModelread_dl_model for details on where the file is searched.
Additional parameters of the Deep Counting model can be set using the
generic parameters GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name and GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value.
See get_deep_counting_model_paramget_deep_counting_model_paramGetDeepCountingModelParamGetDeepCountingModelParamget_deep_counting_model_param for a list of parameters and their
possible values. The parameters can either be set during model creation,
or later using set_deep_counting_model_paramset_deep_counting_model_paramSetDeepCountingModelParamSetDeepCountingModelParamset_deep_counting_model_param.
Note that before using the returned Deep Counting model with
apply_deep_counting_modelapply_deep_counting_modelApplyDeepCountingModelApplyDeepCountingModelapply_deep_counting_model, templates must be stored in the model
using prepare_deep_counting_modelprepare_deep_counting_modelPrepareDeepCountingModelPrepareDeepCountingModelprepare_deep_counting_model.
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
GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) attribute.name(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Parameter names.
Default:
[]
List of values:
'angle_end'"angle_end""angle_end""angle_end""angle_end", 'angle_start'"angle_start""angle_start""angle_start""angle_start", 'angle_step'"angle_step""angle_step""angle_step""angle_step", 'device'"device""device""device""device", 'max_overlap'"max_overlap""max_overlap""max_overlap""max_overlap", 'min_score'"min_score""min_score""min_score""min_score", 'scale_max'"scale_max""scale_max""scale_max""scale_max", 'scale_min'"scale_min""scale_min""scale_min""scale_min", 'scale_step'"scale_step""scale_step""scale_step""scale_step"
GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (input_control) attribute.value(-array) → HTupleMaybeSequence[Union[float, int, str]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)
Parameter values.
Default:
[]
DeepCountingHandleDeepCountingHandleDeepCountingHandledeepCountingHandledeep_counting_handle (output_control) deep_counting → HDlModelCounting, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Deep Counting model for counting objects.
Result
If the parameters are valid, the operator create_deep_counting_modelcreate_deep_counting_modelCreateDeepCountingModelCreateDeepCountingModelcreate_deep_counting_model
returns the value 2 (
H_MSG_TRUE)
. If necessary, an exception is raised.
Possible Successors
set_deep_counting_model_paramset_deep_counting_model_paramSetDeepCountingModelParamSetDeepCountingModelParamset_deep_counting_model_param,
get_deep_counting_model_paramget_deep_counting_model_paramGetDeepCountingModelParamGetDeepCountingModelParamget_deep_counting_model_param,
prepare_deep_counting_modelprepare_deep_counting_modelPrepareDeepCountingModelPrepareDeepCountingModelprepare_deep_counting_model,
apply_deep_counting_modelapply_deep_counting_modelApplyDeepCountingModelApplyDeepCountingModelapply_deep_counting_model
Alternatives
read_deep_counting_modelread_deep_counting_modelReadDeepCountingModelReadDeepCountingModelread_deep_counting_model
See also
get_deep_counting_model_paramget_deep_counting_model_paramGetDeepCountingModelParamGetDeepCountingModelParamget_deep_counting_model_param
Module
Matching