Edit this page

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(unicode path_to_xml, ...)

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.

Prev Next