Here are the data structures with brief descriptions:
[detail level 12]
▼Nie_api
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CExecutableNetwork
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This class represents a network instance loaded to plugin and ready for inference |
CIECore
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This class represents an Inference Engine entity and allows you to manipulate with plugins using unified interfaces |
CIENetLayer
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This class stores main information about the layer and allow to modify some layer parameters |
CIENetwork
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This class contains the information about the network model read from IR and allows you to manipulate with some model parameters such as layers affinity and output layers |
CIEPlugin
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This class is the main plugin interface and serves to initialize and configure the plugin |
CInferRequest
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This class provides an interface to infer requests of ExecutableNetwork and serves to handle infer requests execution and to set and get output data |
CInputInfo
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This class contains the information about the network input layers |
CLayersStatsMap
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Class inherited from built-in python dict class and overrides default update() method to allow to set or modify layers calibration statistics |
CLayerStats
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Layer calibration statistic container |
COutputInfo
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This class contains the information about the network input layers |