ExecuteNeuralNetwork (MIMO_String)

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:

HRESULT ExecuteNeuralNetwork(
    HRESULT             hrPrev,
    ITcVnNeuralNetwork* ipNeuralNetwork,
    PVOID               pSrcImages,
    USHORT              nSrcArraySize,
    PCCH                sInputNames,
    ITcVnContainer*&    ipDestImages,
    PCCH                sOutputNames
)

Parameters

Name	Type	Description
hrPrev	HRESULT	HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)
ipNeuralNetwork	ITcVnNeuralNetwork*	Neural network model
pSrcImages	PVOID	Pointer to an array of source input images
nSrcArraySize	USHORT	The size of the array referenced by pSrcImages. pSrcImages must reference an array with a size equal to the number of model inputs.
sInputNames	PCCH	Input names separated by ";"
ipDestImages	ITcVnContainer*&	Container of images containing the output from the specified layers.
sOutputNames	PCCH	Names of output layers whose outputs are required separated by ";". If empty, the outputs of all unconnected output layers are provided.

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