F_VN_ExecuteNeuralNetwork_MIMO_String

F_VN_ExecuteNeuralNetwork_MIMO_String 1:

Execute a neural network with multiple inputs and multiple outputs (MIMO) using the provided images. Ensure all model input names are listed in sInputNames and that the images and names are in the same order. The result of the specified output layers are returned. 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_MIMO_String : HRESULT
VAR_INPUT
    ipNeuralNetwork : ITcVnNeuralNetwork;
    pSrcImages      : PVOID;
    nSrcArraySize   : UINT;
    sInputNames     : STRING;
    ipDestImages    : Reference To ITcVnContainer;
    sOutputNames    : STRING;
    hrPrev          : HRESULT;
END_VAR

 Inputs

Name

Type

Description

ipNeuralNetwork

ITcVnNeuralNetwork

Neural network model

pSrcImages

PVOID

Pointer to an array of source input images

nSrcArraySize

UINT

The size of the array referenced by pSrcImages. pSrcImages must reference an array with a size equal to the number of model inputs.

sInputNames

STRING

Input names separated by ";"

ipDestImages

Reference To ITcVnContainer

Container of images containing the output from the specified layers.

sOutputNames

STRING

Names of output layers whose outputs are required separated by ";". If empty, the outputs of all unconnected output layers are provided.

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