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HDlModel (Class)

Name

HDlModel — Represents an instance of a Deep Neural Network.

Constructors

`ReadDlModel`		Read a deep learning model from a file.
`CreateDlModelDetection`		Create a deep learning network for object detection or instance segmentation.
`CreateDlModel`		Create a deep learning model.

Methods

`AddDlPruningBatch`		Calculate scores to prune a deep learning model.
`ApplyDlModel`		Apply a deep-learning-based network on a set of images for inference.
`ClearDlModel`		Clear a deep learning model.
`CreateDlModel`		Create a deep learning model.
`CreateDlModelDetection`		Create a deep learning network for object detection or instance segmentation.
`CreateDlPruning`		Create a pruning data handle.
`DeserializeDlModel`		Deserialize a deep learning model.
`GenDlModelHeatmap`		Infer the sample and generate a heatmap.
`GenDlPrunedModel`		Prune a deep learning model.
`GetDlModelLayer`		Create a deep copy of the layers and all of their graph ancestors in a given deep learning model.
`GetDlModelLayerActivations`		Get the activations of a Deep Learning model layer.
`GetDlModelLayerGradients`		Get the gradients of a Deep Learning model layer.
`GetDlModelLayerWeights`		Get the weights (or values) of a Deep Learning model layer.
`GetDlModelParam`		Return the parameters of a deep learning model.
`LoadDlModelWeights`		Load the weights of a source model into a target model.
`OptimizeDlModelForInference`		Optimize a model for inference on a device via the -interface.
`ReadDlModel`		Read a deep learning model from a file.
`SerializeDlModel`		Serialize a deep learning model.
`SetDlModelLayerWeights`		Set the weights (or values) of a Deep Learning model layer.
`SetDlModelParam`		Set the parameters of a deep learning model.
`TrainDlModelAnomalyDataset`		Train a deep learning model for anomaly detection.
`TrainDlModelBatch`		Train a deep learning model.
`WriteDlModel`		Write a deep learning model in a file.

HDlModel (Class)

Name

HDlModel — Represents an instance of a Deep Neural Network.

Constructors

`ReadDlModel`		Read a deep learning model from a file.
`CreateDlModelDetection`		Create a deep learning network for object detection or instance segmentation.
`CreateDlModel`		Create a deep learning model.

Methods

`AddDlPruningBatch`		Calculate scores to prune a deep learning model.
`ApplyDlModel`		Apply a deep-learning-based network on a set of images for inference.
`ClearDlModel`		Clear a deep learning model.
`CreateDlModel`		Create a deep learning model.
`CreateDlModelDetection`		Create a deep learning network for object detection or instance segmentation.
`CreateDlPruning`		Create a pruning data handle.
`DeserializeDlModel`		Deserialize a deep learning model.
`GenDlModelHeatmap`		Infer the sample and generate a heatmap.
`GenDlPrunedModel`		Prune a deep learning model.
`GetDlModelLayer`		Create a deep copy of the layers and all of their graph ancestors in a given deep learning model.
`GetDlModelLayerActivations`		Get the activations of a Deep Learning model layer.
`GetDlModelLayerGradients`		Get the gradients of a Deep Learning model layer.
`GetDlModelLayerWeights`		Get the weights (or values) of a Deep Learning model layer.
`GetDlModelParam`		Return the parameters of a deep learning model.
`LoadDlModelWeights`		Load the weights of a source model into a target model.
`OptimizeDlModelForInference`		Optimize a model for inference on a device via the -interface.
`ReadDlModel`		Read a deep learning model from a file.
`SerializeDlModel`		Serialize a deep learning model.
`SetDlModelLayerWeights`		Set the weights (or values) of a Deep Learning model layer.
`SetDlModelParam`		Set the parameters of a deep learning model.
`TrainDlModelAnomalyDataset`		Train a deep learning model for anomaly detection.
`TrainDlModelBatch`		Train a deep learning model.
`WriteDlModel`		Write a deep learning model in a file.

Operators