create_dl_layer_zoom_to_layer_sizeT_create_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizecreate_dl_layer_zoom_to_layer_size (Operator)

Name

create_dl_layer_zoom_to_layer_sizeT_create_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizecreate_dl_layer_zoom_to_layer_size — Create a zoom layer using the output size of a reference layer.

Signature

Description

The operator create_dl_layer_zoom_to_layer_sizecreate_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizecreate_dl_layer_zoom_to_layer_size creates a zoom layer using the output size of a reference layer and returns the layer handle in DLLayerZoomDLLayerZoomDLLayerZoomDLLayerZoomDLLayerZoomdllayer_zoom.

The parameter DLLayerInputDLLayerInputDLLayerInputDLLayerInputDLLayerInputdllayer_input determines the feeding input layer and expects the layer handle as value.

The parameter DLLayerReferenceDLLayerReferenceDLLayerReferenceDLLayerReferenceDLLayerReferencedllayer_reference is used to define the output size of the zoom layer DLLayerZoomDLLayerZoomDLLayerZoomDLLayerZoomDLLayerZoomdllayer_zoom: the size is adapted to the output size of DLLayerReferenceDLLayerReferenceDLLayerReferenceDLLayerReferenceDLLayerReferencedllayer_reference.

The parameter LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name sets an individual layer name. Note that if creating a model using create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_model each layer of the created network must have a unique name.

The parameter InterpolationInterpolationInterpolationInterpolationinterpolationinterpolation defines the interpolation mode. Currently only the mode 'bilinear'"bilinear""bilinear""bilinear""bilinear""bilinear" is supported.

The parameter AlignCornersAlignCornersAlignCornersAlignCornersalignCornersalign_corners defines how coordinates are transformed from the output to the input image:

'true'"true""true""true""true""true":

The transformation is applied in the HALCON Non-Standard Cartesian coordinate system (edge-centered, with the origin in the upper left corner, see chapter Transformations / 2D Transformations). Using the axis as an example, this leads to:

'false'"false""false""false""false""false":

The transformation is applied in the HALCON standard coordinate system (pixel centered, with the origin in the center of the upper left pixel, see chapter Transformations / 2D Transformations). Using the axis as an example, this leads to:

The following generic parameters GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name and the corresponding values GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value are supported:

'is_inference_output'"is_inference_output""is_inference_output""is_inference_output""is_inference_output""is_inference_output":

Determines whether apply_dl_modelapply_dl_modelApplyDlModelApplyDlModelApplyDlModelapply_dl_model will include the output of this layer in the dictionary DLResultBatchDLResultBatchDLResultBatchDLResultBatchDLResultBatchdlresult_batch even without specifying this layer in OutputsOutputsOutputsOutputsoutputsoutputs ('true'"true""true""true""true""true") or not ('false'"false""false""false""false""false").

Default: 'false'"false""false""false""false""false"

'num_trainable_params'"num_trainable_params""num_trainable_params""num_trainable_params""num_trainable_params""num_trainable_params":

Number of trainable parameters (weights and biases) of the layer.

Certain parameters of layers created using this operator create_dl_layer_zoom_to_layer_sizecreate_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizecreate_dl_layer_zoom_to_layer_size can be set and retrieved using further operators. The following tables give an overview, which parameters can be set using set_dl_model_layer_paramset_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param and which ones can be retrieved using get_dl_model_layer_paramget_dl_model_layer_paramGetDlModelLayerParamGetDlModelLayerParamGetDlModelLayerParamget_dl_model_layer_param or get_dl_layer_paramget_dl_layer_paramGetDlLayerParamGetDlLayerParamGetDlLayerParamget_dl_layer_param. Note, the operators set_dl_model_layer_paramset_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param and get_dl_model_layer_paramget_dl_model_layer_paramGetDlModelLayerParamGetDlModelLayerParamGetDlModelLayerParamget_dl_model_layer_param require a model created by create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_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.

Parameters

Alternatives

create_dl_layer_zoom_sizecreate_dl_layer_zoom_sizeCreateDlLayerZoomSizeCreateDlLayerZoomSizeCreateDlLayerZoomSizecreate_dl_layer_zoom_size, create_dl_layer_zoom_factorcreate_dl_layer_zoom_factorCreateDlLayerZoomFactorCreateDlLayerZoomFactorCreateDlLayerZoomFactorcreate_dl_layer_zoom_factor

Module

Deep Learning Training