openvino.inference_engine

Functions

deepcopy(x[, memo, _nil])

Deep copy operation on arbitrary Python objects.

fnmatch(name, pat)

Test whether FILENAME matches PATTERN.

get_version()

namedtuple(typename, field_names, *[, ...])

Returns a new subclass of tuple with named fields.

read_network(str path_to_xml, str path_to_bin)

Classes

Blob

This class represents Blob

BlobBuffer

Copy-less accessor for Inference Engine Blob

CDataPtr

This class is the layer constant data representation.

ColorFormat(value)

An enumeration.

DataPtr()

This class is the layer data representation.

ExecutableNetwork()

This class represents a network instance loaded to plugin and ready for inference.

IECore

This class represents an Inference Engine entity and allows you to manipulate with plugins using unified interfaces.

IENetwork

InferRequest()

This class provides an interface to infer requests of ExecutableNetwork and serves to handle infer requests execution and to set and get output data.

InputInfoCPtr

This class contains const information about each input of the network.

InputInfoPtr

This class contains information about each input of the network

MeanVariant(value)

An enumeration.

PreProcessChannel

This structure stores info about pre-processing of network inputs (scale, mean image, ...)

PreProcessInfo

This class stores pre-process information for the input

ResizeAlgorithm(value)

An enumeration.

StatusCode(value)

An enumeration.

TensorDesc

This class defines Tensor description

VariableState

This class manages data for reset operations

WaitMode(value)

An enumeration.