Specifies the parameters for the TripletLossLayer. More...

Inheritance diagram for MyCaffe.param.beta.TripletLossParameter:

Public Member Functions
	TripletLossParameter ()
	Constructor for the parameter. More...

override object	Load (System.IO.BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

override void	Copy (LayerParameterBase src)
	Copy on parameter to another. More...

override LayerParameterBase	Clone ()
	Creates a new copy of this instance of the parameter. More...

override RawProto	ToProto (string strName)
	Convert the parameter into a RawProto. More...

Public Member Functions inherited from MyCaffe.param.LayerParameterBase
	LayerParameterBase ()
	Constructor for the parameter. More...

virtual string	PrepareRunModelInputs ()
	This method gives derivative classes a chance specify model inputs required by the run model. More...

virtual void	PrepareRunModel (LayerParameter p)
	This method gives derivative classes a chance to prepare the layer for a run-model. More...

void	Save (BinaryWriter bw)
	Save this parameter to a binary writer. More...

abstract object	Load (BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

Public Member Functions inherited from MyCaffe.basecode.BaseParameter
	BaseParameter ()
	Constructor for the parameter. More...

virtual bool	Compare (BaseParameter p)
	Compare this parameter to another parameter. More...

Static Public Member Functions
static TripletLossParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.basecode.BaseParameter
static double	ParseDouble (string strVal)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out double df)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static float	ParseFloat (string strVal)
	Parse float values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out float f)
	Parse doufloatble values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

Properties
double	alpha `[getset]`
	Specifies the margin. More...

int	pregen_label_start `[getset]`
	Specifies the starting label for pre-generated targets, only used when 'colBottom.Count' = 5, which contains centroids. More...

Additional Inherited Members
Public Types inherited from MyCaffe.param.LayerParameterBase
enum	LABEL_TYPE { NONE , SINGLE , MULTIPLE , ONLY_ONE }
	Defines the label type. More...

Detailed Description

Specifies the parameters for the TripletLossLayer.

See also: Deep Metric Learning Using Triplet Network by Hoffer and Ailon, 2018.; FaceNet: A Unified Embedding for Face Recognition and Clustering by Schroff, 2015.

Initial Python code for TripletDataLayer/TripletSelectionLayer/TripletLossLayer by luhaofang/tripletloss on github.
See also
https://github.com/luhaofang/tripletloss - for general architecture
Initial C++ code for TripletLoss layer by eli-oscherovich in 'Triplet loss #3663' pull request on BVLC/caffe github.
See also
https://github.com/BVLC/caffe/pull/3663/commits/c6518fb5752344e1922eaa1b1eb686bae5cc3964 - for triplet loss layer implementation
For an explanation of the gradient calculations,
See also
http://stackoverflow.com/questions/33330779/whats-the-triplet-loss-back-propagation-gradient-formula/33349475#33349475 - for gradient calculations

In Defense of the Triplet Loss for Person Re-Identification by Alexander Hermans, Lucas Beyer, and Bastian Leibe, 2017.

FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, and Dmitry Kalenichenko, and James Philbin, 2015.

Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search by Tu Bui, Leonardo Ribeiro, Moacir Ponti, and John Collomosse, 2016.

Definition at line 33 of file TripletLossParameter.cs.

Constructor & Destructor Documentation

◆ TripletLossParameter()

MyCaffe.param.beta.TripletLossParameter.TripletLossParameter ( )

Constructor for the parameter.

Definition at line 39 of file TripletLossParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.beta.TripletLossParameter.Clone ( )

virtual

Creates a new copy of this instance of the parameter.

Returns: A new instance of this parameter is returned.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 94 of file TripletLossParameter.cs.

◆ Copy()

override void MyCaffe.param.beta.TripletLossParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 83 of file TripletLossParameter.cs.

◆ FromProto()

static TripletLossParameter MyCaffe.param.beta.TripletLossParameter.FromProto ( RawProto rp )

static

Parses the parameter from a RawProto.

Parameters

rp	Specifies the RawProto to parse.

Returns: A new instance of the parameter is returned.

Definition at line 121 of file TripletLossParameter.cs.

◆ Load()

override object MyCaffe.param.beta.TripletLossParameter.Load	(	System.IO.BinaryReader	br,
		bool	bNewInstance = `true`
	)

Load the parameter from a binary reader.

Parameters

br	Specifies the binary reader.
bNewInstance	When true a new instance is created (the default), otherwise the existing instance is loaded from the binary reader.

Returns: Returns an instance of the parameter.

Definition at line 68 of file TripletLossParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.beta.TripletLossParameter.ToProto ( string strName )

virtual

Convert the parameter into a RawProto.

Parameters

strName Specifies the name to associate with the RawProto.

Returns: The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 106 of file TripletLossParameter.cs.

Property Documentation

◆ alpha

double MyCaffe.param.beta.TripletLossParameter.alpha

getset

Specifies the margin.

Definition at line 46 of file TripletLossParameter.cs.

◆ pregen_label_start

int MyCaffe.param.beta.TripletLossParameter.pregen_label_start

getset

Specifies the starting label for pre-generated targets, only used when 'colBottom.Count' = 5, which contains centroids.

Definition at line 56 of file TripletLossParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.beta/TripletLossParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ TripletLossParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ alpha

◆ pregen_label_start