DL_DetectAnomalies2_Deploy

Basic

Module: DL_DA

Loads a deep learning model and prepares its execution on a specific target device.

Name Type Range Description
Input value inModelDirectory DetectAnomalies2ModelDirectory A Detect Anomalies 2 model stored in a specific disk directory.
Input value inDeviceType DeviceKind* A type of a device selected for deploying and executing the model. If not set, device depending on version (CPU/GPU) of installed Deep Learning add-on is selected. If not set, device depending on version (CPU/GPU) of installed Deep Learning add-on is selected.
Input value inDeviceIndex Integer 0 - An index of a device selected for deploying and executing the model.
Output value outModelId DetectAnomalies2ModelId Identifier of the deployed model

Hints

  • In most cases, this filter should be placed in the INITIALIZE section.
  • Executing this filter may take several seconds.
  • This filter should be connected to DL_DetectAnomalies2 through the ModelId ports.
  • You can edit the model directly through the inModelDirectory. Another option is to use the Deep Learning Editor application and just copy the path to the created model.

Remarks

  • Passing NIL as inTargetDevice (which is default), is identical to passing DeviceKind::CUDA on GPU version of Deep Learning add-on and DeviceKind::CPU on CPU version on Deep Learning add-on.
  • GPU version of Deep Learning add-on supports DeviceKind::CUDA and DeviceKind::CPU as inTargetDevice value.
  • CPU version of Deep Learning add-on supports only DeviceKind::CPU as inTargetDevice value.

Complexity Level

This filter is available on Basic Complexity Level.

Disabled in Lite Edition

This filter is disabled in Lite Edition. It is available only in full, FabImage Studio Professional version.

Filter Group

This filter is member of DL_Deploy filter group.

See Also