ImageDev

OnnxModel

Contains all the information necessary to run a ONNX command.

Information about the measurement named measurement can be accessed by using the method measurementInformation() which returns a FieldInformation
Information about the measurement named measurement can be accessed by using the property measurementInformation which returns a FieldInformation
Information about the measurement named measurement can be accessed by using the property measurement_information which returns a FieldInformation

Object members

Measurement name DescriptionElement typeIndexingPhysical Information
inputCount The number of inputs of the model. Unsigned integer None COUNT
inputDimensionCount The number of dimensions expected by the model for the input tensors.
It is generally 4 for 2D images, and 5 for 3D volumes.
Unsigned integer [inputIndex] COUNT
inputName The inputs'names. String [inputIndex] UNKNOWN
inputShape The input tensors'shapes.
The tensor layout depends on how it has been defined in the model. It is generally NCHW or NHWC in 2D, and NDHWC or NCDHW in 3D where N is the number of images contained in the batch, C is the number of channels, D is the volume depth in 3D, H is the image height, or number of rows, and W is the image width, or number of columns.
Integer [inputIndex, dimension] UNKNOWN
inputType The inputs'data types. String [inputIndex] UNKNOWN
outputCount The number of outputs of the model. Unsigned integer None COUNT
outputDimensionCount The number of dimensions expected for the output tensors. Unsigned integer [outputIndex] COUNT
outputName The outputs'names. String [outputIndex] UNKNOWN
outputShape The output tensors'shapes. Integer [outputIndex, dimension] UNKNOWN
outputType The outputs'data types. String [outputIndex] UNKNOWN
inputOnnxType The inputs'data ONNX types. String [inputIndex] UNKNOWN
outputOnnxType The outputs'data ONNX types. String [outputIndex] UNKNOWN
path The path of the file used to load the Onnx model. String None UNKNOWN
runnerType The type of runner.
It depends of the capacities of the hosting machine and defines if the model will be applied on CPU or on GPU.
String None UNKNOWN

Object methods

Method Description
void toDataFrame() Convert the measurement to an IOLink.DataFrame
Method Description
void ToDataFrame() Convert the measurement to an IOLink.DataFrame
Method Description
void to_data_frame() Convert the measurement to an IOLink.DataFrame

Related algorithms






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