Header: AVLDL.h
Namespace: avl
Module: DeepLearning

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


void avl::DL_LocatePoints_Deploy
	const avl::LocatePointsModelDirectory& inModelDirectory,
	const atl::Optional<avl::DeviceType::Type>& inTargetDevice,
	avl::LocatePointsModelId& outModelId


Name Type Default Description
inModelDirectory const LocatePointsModelDirectory& A Locate Points model stored in a specific disk directory.
inTargetDevice const Optional<DeviceType::Type>& NIL 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.
outModelId LocatePointsModelId& Identifier of the deployed model


  • 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_LocatePoints 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.


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

See Also

  • DL_LocatePoints – Executes a Locate Points model on a single input image.