Class InferenceModelConfiguration

Definition

Namespace:
Tizen.Multimedia.Vision
Assembly:
Tizen.Multimedia.Vision.dll

Represents a configuration of FaceDetector, FacialLandmarkDetector, ImageClassifier and ObjectDetector.

public class InferenceModelConfiguration : EngineConfiguration
Inheritance
object
EngineConfiguration
InferenceModelConfiguration
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

Constructors

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InferenceModelConfiguration()

Initializes a new instance of the InferenceModelConfiguration class.

Declaration
public InferenceModelConfiguration()
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

Properties

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Backend

Gets or sets the inference model's backend engine.

Declaration
public InferenceBackendType Backend { get; set; }
Property Value
Type Description
InferenceBackendType
Remarks

The default backend type is OpenCV

See Also
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CategoryFilePath

Gets or sets the path of inference model's category file.

Declaration
public string CategoryFilePath { get; set; }
Property Value
Type Description
string
Remarks

This value should be set to use ImageClassifier or ObjectDetector.

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ConfidenceThreshold

Gets or sets the threshold of confidence.

Declaration
public double ConfidenceThreshold { get; set; }
Property Value
Type Description
double
Remarks

The vaild range is greater than or equal to 0.0 and less than or equal to 1.0.
The value 1.0 means maximum accuracy.

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ConfigurationFilePath

Gets or sets the path of inference model's configuration data file.

Declaration
public string ConfigurationFilePath { get; set; }
Property Value
Type Description
string
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

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DataType

Gets or sets the type of data used for inference model.

Declaration
public InferenceDataType DataType { get; set; }
Property Value
Type Description
InferenceDataType
Remarks

For example, this value should be set to Float32 for a model data supporting float32.
Float32 will be used internally if a user doesn't set the value.

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Device

Gets or sets the processor type for inference models.

Declaration
public InferenceTargetDevice Device { get; set; }
Property Value
Type Description
InferenceTargetDevice
Remarks

The default device is CPU.
If a device doesn't support GPU and Custom, CPU will be used internally, despite the user's choice.

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InputNodeName

Gets or sets the name of an input node

Declaration
public string InputNodeName { get; set; }
Property Value
Type Description
string
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

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MaxOutputNumber

Gets or sets the maximum output number of detection or classification.

Declaration
public int MaxOutputNumber { get; set; }
Property Value
Type Description
int
Remarks

The input value over 10 will be set to 10 and the input value under 1 will be set to 1.
This value can be used to decide the size of Roi, it's length should be the same.

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MeanValue

Gets or sets the inference model's mean value.

Declaration
public double MeanValue { get; set; }
Property Value
Type Description
double
Remarks

It should be greater than or equal to 0.

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MetadataFilePath

Gets or sets the path of inference model's metadata file.

Declaration
public string MetadataFilePath { get; set; }
Property Value
Type Description
string
Remarks

This value should be set to use ImageClassifier or ObjectDetector.

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OutputNodeName

Gets or sets the name of an output node

Declaration
public IList<string> OutputNodeName { get; set; }
Property Value
Type Description
IList<><string>
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

View Source

Roi

Gets or sets the ROI(Region Of Interest) of ImageClassifier and FacialLandmarkDetector

Declaration
public Rectangle? Roi { get; set; }
Property Value
Type Description
Rectangle?
Remarks

Default value is null. If Roi is null, the entire region of MediaVisionSource will be analyzed.

See Also
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StdValue

Gets or sets the inference model's STD(Standard deviation) value.

Declaration
public double StdValue { get; set; }
Property Value
Type Description
double
Remarks

It should be greater than or equal to 0.

View Source

SupportedBackend

Gets the list of inference backend engine which is supported in the current device.

Declaration
public IEnumerable<InferenceBackendType> SupportedBackend { get; }
Property Value
Type Description
IEnumerable<><InferenceBackendType>

If there's no supported backend, empty collection will be returned.
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

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TensorChannels

Gets or sets the number of inference model's tensor channel.

Declaration
public int TensorChannels { get; set; }
Property Value
Type Description
int
Remarks

For example, for RGB colorspace this value should be set to 3
It should be greater than 0.

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TensorSize

Gets or sets the size of inference model's tensor.

Declaration
public Size TensorSize { get; set; }
Property Value
Type Description
Size
Remarks

Both width and height of tensor should be greater than 0.
'Size(-1, -1) is allowed when the intention is to use original image source size as TensorSize.

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WeightFilePath

Gets or sets the path of inference model's weight file.

Declaration
public string WeightFilePath { get; set; }
Property Value
Type Description
string
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

Methods

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Dispose(bool)

Releases the resources used by the InferenceModelConfiguration object.

Declaration
protected override void Dispose(bool disposing)
Parameters
Type Name Description
bool disposing

true to release both managed and unmanaged resources, otherwise false to release only unmanaged resources.
Overrides
Remarks

'Inference model' means pre-learned data, which is represented by ConfigurationFilePath and WeightFilePath, CategoryFilePath.
If user want to use tizen default inference model and its related value, Please refer Tizen guide page(https://developer.tizen.org/development/guides/.net-application).

View Source

LoadInferenceModel()

Loads inference model data and its related attributes.

Declaration
public void LoadInferenceModel()
Remarks

Before calling this method, user should set all properties which is required by each inference model.
The properties set after calling this method will not be affected in the result.

Exceptions
Type Condition
FileFormatException

Invalid data type is used in inference model data.

Extension Methods