F_VN_ExecuteNeuralNetwork_MultiLayerOutput

F_VN_ExecuteNeuralNetwork_MultiLayerOutput 1:

This function is deprecated, please use F_VN_ExecuteNeuralNetwork_MO. Execute a neural network using the provided image as input and provide the output of the specified output layers. The function doesn't perform any pre-processing or transformation.
Can use available TwinCAT Job Tasks for executing parallel code regions.

Syntax

Definition:

FUNCTION F_VN_ExecuteNeuralNetwork_MultiLayerOutput : HRESULT
VAR_INPUT
    ipNeuralNetwork : ITcVnNeuralNetwork;
    ipSrcImage      : ITcVnImage;
    ipDestImages    : Reference To ITcVnContainer;
    ipLayerNames    : ITcVnContainer;
    hrPrev          : HRESULT;
END_VAR

 Inputs

Name

Type

Description

ipNeuralNetwork

ITcVnNeuralNetwork

Neural network model

ipSrcImage

ITcVnImage

Source image (The image layout must be adapted to match the model's expected input format using e.g. F_VN_ConvertDataLayout or F_VN_ReshapeImage functions if necessary.)

ipDestImages

Reference To ITcVnContainer

Container of images containing the output from the specified layers.

ipLayerNames

ITcVnContainer

Container of layer names whose outputs to be returned (ContainerType_Vector_String_SINT). If set to zero, the outputs of all unconnected output layers will be returned..

hrPrev

HRESULT

HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

 Return value

HRESULT

Required License

TC3 Neural Network Realtime Inference

System Requirements

Development environment

Target platform

PLC libraries to include

TwinCAT V3.1.4024.59 or later

PC or CX (x64) with min. PL50, e.g. Intel 4-core Atom CPU

Tc3_Vision