ImageTransformer implements ImageTransformer More...

Inheritance diagram for Synapse.ML.Opencv.ImageTransformer:

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Collaboration diagram for Synapse.ML.Opencv.ImageTransformer:

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Public Member Functions
	ImageTransformer ()
	Creates a ImageTransformer without any parameters. More...

	ImageTransformer (string uid)
	Creates a ImageTransformer with a UID that is used to give the ImageTransformer a unique ID. More...

ImageTransformer	SetAutoConvertToColor (bool value)
	Sets value for autoConvertToColor More...

ImageTransformer	SetColorScaleFactor (double value)
	Sets value for colorScaleFactor More...

ImageTransformer	SetIgnoreDecodingErrors (bool value)
	Sets value for ignoreDecodingErrors More...

ImageTransformer	SetInputCol (string value)
	Sets value for inputCol More...

ImageTransformer	SetNormalizeMean (double[] value)
	Sets value for normalizeMean More...

ImageTransformer	SetNormalizeStd (double[] value)
	Sets value for normalizeStd More...

ImageTransformer	SetOutputCol (string value)
	Sets value for outputCol More...

ImageTransformer	SetStages (Dictionary< string, object >[] value)
	Sets value for stages More...

ImageTransformer	SetTensorChannelOrder (string value)
	Sets value for tensorChannelOrder More...

ImageTransformer	SetTensorElementType (DataType value)
	Sets value for tensorElementType More...

ImageTransformer	SetToTensor (bool value)
	Sets value for toTensor More...

bool	GetAutoConvertToColor ()
	Gets autoConvertToColor value More...

double	GetColorScaleFactor ()
	Gets colorScaleFactor value More...

bool	GetIgnoreDecodingErrors ()
	Gets ignoreDecodingErrors value More...

string	GetInputCol ()
	Gets inputCol value More...

double[]	GetNormalizeMean ()
	Gets normalizeMean value More...

double[]	GetNormalizeStd ()
	Gets normalizeStd value More...

string	GetOutputCol ()
	Gets outputCol value More...

Dictionary< string, object >[]	GetStages ()
	Gets stages value More...

string	GetTensorChannelOrder ()
	Gets tensorChannelOrder value More...

DataType	GetTensorElementType ()
	Gets tensorElementType value More...

bool	GetToTensor ()
	Gets toTensor value More...

void	Save (string path)
	Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala. More...

JavaMLWriter	Write ()
	Returns a JavaMLWriter instance for this ML instance.

JavaMLReader< ImageTransformer >	Read ()
	Get the corresponding JavaMLReader instance. More...

Static Public Member Functions
static ImageTransformer	Load (string path)
	Loads the ImageTransformer that was previously saved using Save(string). More...

Detailed Description

ImageTransformer implements ImageTransformer

Constructor & Destructor Documentation

◆ ImageTransformer() [1/2]

Synapse.ML.Opencv.ImageTransformer.ImageTransformer ( )

inline

Creates a ImageTransformer without any parameters.

◆ ImageTransformer() [2/2]

Synapse.ML.Opencv.ImageTransformer.ImageTransformer ( string uid )

inline

Creates a ImageTransformer with a UID that is used to give the ImageTransformer a unique ID.

Parameters

uid	An immutable unique ID for the object and its derivatives.

Member Function Documentation

◆ GetAutoConvertToColor()

bool Synapse.ML.Opencv.ImageTransformer.GetAutoConvertToColor ( )

Gets autoConvertToColor value

Returns: autoConvertToColor: Whether to automatically convert black and white images to color

◆ GetColorScaleFactor()

double Synapse.ML.Opencv.ImageTransformer.GetColorScaleFactor ( )

Gets colorScaleFactor value

Returns: colorScaleFactor: The scale factor for color values. Used for normalization. The color values will be multiplied with the scale factor.

◆ GetIgnoreDecodingErrors()

bool Synapse.ML.Opencv.ImageTransformer.GetIgnoreDecodingErrors ( )

Gets ignoreDecodingErrors value

Returns: ignoreDecodingErrors: Whether to throw on decoding errors or just return null

◆ GetInputCol()

string Synapse.ML.Opencv.ImageTransformer.GetInputCol ( )

Gets inputCol value

Returns: inputCol: The name of the input column

◆ GetNormalizeMean()

double [] Synapse.ML.Opencv.ImageTransformer.GetNormalizeMean ( )

Gets normalizeMean value

Returns: normalizeMean: The mean value to use for normalization for each channel. The length of the array must match the number of channels of the input image.

◆ GetNormalizeStd()

double [] Synapse.ML.Opencv.ImageTransformer.GetNormalizeStd ( )

Gets normalizeStd value

Returns: normalizeStd: The standard deviation to use for normalization for each channel. The length of the array must match the number of channels of the input image.

◆ GetOutputCol()

string Synapse.ML.Opencv.ImageTransformer.GetOutputCol ( )

Gets outputCol value

Returns: outputCol: The name of the output column

◆ GetStages()

Dictionary<string, object> [] Synapse.ML.Opencv.ImageTransformer.GetStages ( )

inline

Gets stages value

Returns: stages: Image transformation stages

◆ GetTensorChannelOrder()

string Synapse.ML.Opencv.ImageTransformer.GetTensorChannelOrder ( )

Gets tensorChannelOrder value

Returns: tensorChannelOrder: The color channel order of the output channels. Valid values are RGB and GBR. Default: RGB.

◆ GetTensorElementType()

DataType Synapse.ML.Opencv.ImageTransformer.GetTensorElementType ( )

inline

Gets tensorElementType value

Returns: tensorElementType: The element data type for the output tensor. Only used when toTensor is set to true. Valid values are DoubleType or FloatType. Default value: FloatType.

◆ GetToTensor()

bool Synapse.ML.Opencv.ImageTransformer.GetToTensor ( )

Gets toTensor value

Returns: toTensor: Convert output image to tensor in the shape of (C * H * W)

◆ Load()

static ImageTransformer Synapse.ML.Opencv.ImageTransformer.Load ( string path )

static

Loads the ImageTransformer that was previously saved using Save(string).

Parameters

path	The path the previous ImageTransformer was saved to

Returns: New ImageTransformer object, loaded from path.

◆ Read()

JavaMLReader<ImageTransformer> Synapse.ML.Opencv.ImageTransformer.Read ( )

Get the corresponding JavaMLReader instance.

Returns: an JavaMLReader<ImageTransformer> instance for this ML instance.

◆ Save()

void Synapse.ML.Opencv.ImageTransformer.Save ( string path )

Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala.

Parameters

path	The path to save the object to

◆ SetAutoConvertToColor()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetAutoConvertToColor ( bool value )

Sets value for autoConvertToColor

Parameters

value Whether to automatically convert black and white images to color

Returns: New ImageTransformer object

◆ SetColorScaleFactor()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetColorScaleFactor ( double value )

Sets value for colorScaleFactor

Parameters

value The scale factor for color values. Used for normalization. The color values will be multiplied with the scale factor.

Returns: New ImageTransformer object

◆ SetIgnoreDecodingErrors()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetIgnoreDecodingErrors ( bool value )

Sets value for ignoreDecodingErrors

Parameters

value Whether to throw on decoding errors or just return null

Returns: New ImageTransformer object

◆ SetInputCol()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetInputCol ( string value )

Sets value for inputCol

Parameters

value The name of the input column

Returns: New ImageTransformer object

◆ SetNormalizeMean()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetNormalizeMean ( double[] value )

Sets value for normalizeMean

Parameters

value The mean value to use for normalization for each channel. The length of the array must match the number of channels of the input image.

Returns: New ImageTransformer object

◆ SetNormalizeStd()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetNormalizeStd ( double[] value )

Sets value for normalizeStd

Parameters

value The standard deviation to use for normalization for each channel. The length of the array must match the number of channels of the input image.

Returns: New ImageTransformer object

◆ SetOutputCol()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetOutputCol ( string value )

Sets value for outputCol

Parameters

value The name of the output column

Returns: New ImageTransformer object

◆ SetStages()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetStages ( Dictionary< string, object >[] value )

Sets value for stages

Parameters

value Image transformation stages

Returns: New ImageTransformer object

◆ SetTensorChannelOrder()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetTensorChannelOrder ( string value )

Sets value for tensorChannelOrder

Parameters

value The color channel order of the output channels. Valid values are RGB and GBR. Default: RGB.

Returns: New ImageTransformer object

◆ SetTensorElementType()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetTensorElementType ( DataType value )

Sets value for tensorElementType

Parameters

value The element data type for the output tensor. Only used when toTensor is set to true. Valid values are DoubleType or FloatType. Default value: FloatType.

Returns: New ImageTransformer object

◆ SetToTensor()

ImageTransformer Synapse.ML.Opencv.ImageTransformer.SetToTensor ( bool value )

Sets value for toTensor

Parameters

value Convert output image to tensor in the shape of (C * H * W)

Returns: New ImageTransformer object

The documentation for this class was generated from the following file:

synapse/ml/opencv/ImageTransformer.cs

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ ImageTransformer() [1/2]

◆ ImageTransformer() [2/2]

Member Function Documentation

◆ GetAutoConvertToColor()

◆ GetColorScaleFactor()

◆ GetIgnoreDecodingErrors()

◆ GetInputCol()

◆ GetNormalizeMean()

◆ GetNormalizeStd()

◆ GetOutputCol()

◆ GetStages()

◆ GetTensorChannelOrder()

◆ GetTensorElementType()

◆ GetToTensor()

◆ Load()

◆ Read()

◆ Save()

◆ SetAutoConvertToColor()

◆ SetColorScaleFactor()

◆ SetIgnoreDecodingErrors()

◆ SetInputCol()

◆ SetNormalizeMean()

◆ SetNormalizeStd()

◆ SetOutputCol()

◆ SetStages()

◆ SetTensorChannelOrder()

◆ SetTensorElementType()

◆ SetToTensor()