NNData
This message carries tensors and its data. NeuralNetwork node outputs NNData.Creating NNData
You can also create this message on the host (example here) or Script node (Script NNData example), populate the tensor with the data, and send the message to theinput of the NeuralNetwork node.Reference
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depthai.NNData(depthai.Buffer)
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getAllLayerNames(self) -> list[str]: list[str]Returns: Names of all layers added
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getAllLayers(self) -> list[TensorInfo]: list[TensorInfo]Returns: All layers and their information
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getLayerDatatype(self, name: str, datatype: TensorInfo.DataType) -> bool: boolRetrieve datatype of a layers tensor Parameter ``name``: Name of the layer Parameter ``datatype``: Datatype of layers tensor Returns: True if layer exists, false otherwise
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getSequenceNum(self) -> int: intRetrieves image sequence number
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getTensorDatatype(self, name: str) -> TensorInfo.DataType: TensorInfo.DataTypeGet the datatype of a given tensor Returns: TensorInfo::DataType tensor datatype
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getTensorInfo(self, name: str) -> TensorInfo|None: TensorInfo|NoneRetrieve tensor information Parameter ``name``: Name of the tensor Returns: Tensor information
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getTimestamp(self) -> datetime.timedelta: datetime.timedeltaRetrieves timestamp related to dai::Clock::now()
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getTimestampDevice(self) -> datetime.timedelta: datetime.timedeltaRetrieves timestamp directly captured from device's monotonic clock, not synchronized to host time. Used mostly for debugging
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hasLayer(self, name: str) -> bool: boolChecks if given layer exists Parameter ``name``: Name of the layer Returns: True if layer exists, false otherwise
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