The SsdPascalModelBuilder adds the extra layers to a 'base' model for the Pascal model used with SSD. More...

Inheritance diagram for MyCaffe.model.SsdPascalModelBuilder:

Public Member Functions
	SsdPascalModelBuilder (string strBaseDirectory, int nBatchSize=32, int nAccumBatchSize=32, List< int > rgGpuId=null, bool bUseBatchNorm=false, LossParameter.NormalizationMode normMode=LossParameter.NormalizationMode.VALID, NetParameter net=null)
	The constructor. More...

override SolverParameter	CreateSolver ()
	Create the base solver to use. More...

override NetParameter	CreateModel (bool bDeploy=false)
	Create the training SSD model for the pascal dataset. More...

override NetParameter	CreateDeployModel ()
	Create the testing SSD model for the pascal dataset. More...

Public Member Functions inherited from MyCaffe.model.ModelBuilder
	ModelBuilder (string strBaseDir, NetParameter net=null, SolverParameter solver=null)
	The constructor. More...

Protected Member Functions
override LayerParameter	addExtraLayers (bool bUseBatchNorm=true, double dfLrMult=1)
	Add extra layers (for SSD with the Pascal dataset) on top of a 'base' network (e.g. VGGNet or Inception) More...

Protected Member Functions inherited from MyCaffe.model.ModelBuilder
string	getFileName (string strFile, string strSubDir)
	Returns the full path of the filename using the base directory original set when creating the ModelBuilder. More...

LayerParameter	findLayer (string strName)
	Find a layer with a given name. More...

NetParameter	createNet (string strName)
	Create the base network parameter for the model and set its name to the 'm_strModel' name. More...

LayerParameter	addDataLayer (string strSource, Phase phase, int nBatchSize=32, bool bOutputLabel=true, TransformationParameter transform=null, string strName="data", bool bSiamese=false)
	Add the Data layer. More...

LayerParameter	addAnnotatedDataLayer (string strSource, Phase phase, int nBatchSize=32, bool bOutputLabel=true, string strLabelMapFile="", SimpleDatum.ANNOTATION_TYPE anno_type=SimpleDatum.ANNOTATION_TYPE.NONE, TransformationParameter transform=null, List< BatchSampler > rgSampler=null)
	Add the Annotated Data layer. More...

List< LayerParameter >	createMultiBoxHead (LayerParameter data, int nNumClasses, List< MultiBoxHeadInfo > rgInfo, List< float > rgPriorVariance, bool bUseObjectness=false, bool bUseBatchNorm=true, double dfLrMult=1.0, bool useScale=true, int nImageHt=0, int nImageWd=0, bool bShareLocation=true, bool bFlip=true, bool bClip=true, double dfOffset=0.5, int nKernelSize=1, int nPad=0, string strConfPostfix="", string strLocPostfix="")
	Create the multi-box head layers. More...

LayerParameter	addConvBNLayer (string strInputLayer, string strOutputLayer, bool bUseBatchNorm, bool bUseRelU, int nNumOutput, int nKernelSize, int nPad, int nStride, double dfLrMult=1.0, int nDilation=1, SCALE_BIAS useScale=SCALE_BIAS.SCALE, string strConvPrefix="", string strConvPostfix="", string strBnPrefix="", string strBnPostfix="_bn", string strScalePrefix="", string strScalePostFix="_scale", string strBiasPrefix="", string strBiasPostfix="_bias", bool bNamedParams=false, string strLayerPostfix="", Phase phaseExclude=Phase.NONE)
	Add convolution, batch-norm layers. More...

LayerParameter	connectAndAddLayer (string fromLayer, LayerParameter toLayer, string fromLayer2=null)
	Connect the from layer to the 'to' layer. More...

LayerParameter	connectAndAddLayer (LayerParameter fromLayer, LayerParameter toLayer, bool bInPlace=false, bool bAdd=true, int nTopIdx=0)
	Connect the from layer to the 'to' layer. More...

LayerParameter	connectAndAddLayer (List< LayerParameter > rgFromLayer, LayerParameter toLayer, bool bAdd=true)
	Connect the from layer to the 'to' layer. More...

LayerParameter	createConvolution (string strName, int nNumOutput, int nKernelSize, int nPad=0, int nStride=1, int nDilation=1)
	Create a new convolution layer parameter. More...

LayerParameter	createPooling (string strName, PoolingParameter.PoolingMethod method, int nKernelSize, int nPad=0, int nStride=1)
	Create a new pooling layer parameter. More...

LayerParameter	addVGGBlock (LayerParameter lastLayer, int nBlockIdx, int nConvIdx, int nNumOutput, int nConvCount, bool? bNoPool, bool bDilatePool=false, int nKernelSize=3, int nPad=1, int nStride=1, int nDilation=1)
	Add a new VGG block. More...

LayerParameter	addVGGfc (LayerParameter lastLayer, int nBlockIdx, int nConvIdx, int nNumOutput, int nDilation, bool bDilated, bool bNoPool, bool bFullConv, bool bReduced, bool bDropout)
	Adds the final layers to the network. More...

LayerParameter	addVGGNetBody (LayerParameter lastLayer, bool bNeedFc=true, bool bFullConv=true, bool bReduced=true, bool bDilated=true, bool bNoPool=false, bool bDropout=false, List< string > rgstrFreezeLayers=null, bool bDilatePool4=false)
	Adds the full VGG body to the network, connecting it to the 'lastLayer'. More...

LayerParameter	addResBody (LayerParameter lastLayer, string strBlockName, int nOut2A, int nOut2B, int nOut2C, int nStride, bool bUseBranch1, int nDilation=1, bool bNamedParams=false, string strLayerPostfix="", Phase phaseExclude=Phase.NONE)
	Adds a ResNet body to the network, connecting it to the 'lastLayer'. More...

void	addExclusion (LayerParameter p, Phase phase)
	Add a phase exclusion. More...

LayerParameter	addResNetBody (string strDataName, int nBlock3Count=4, int nBlock4Count=23, bool bUsePool5=true, bool bUseDilationConv5=false, bool bNamedParams=false, string strLayerPostfix="", Phase phaseExclude=Phase.NONE)
	Create a ResNet101 Body. More...

Additional Inherited Members
Public Types inherited from MyCaffe.model.ModelBuilder
enum	SCALE_BIAS { NONE , SCALE , BIAS }
	Defines the scale bias type to use. More...

Protected Attributes inherited from MyCaffe.model.ModelBuilder
string	m_strBaseDir
	Specifies the base directory that contains the data and models. More...

NetParameter	m_net = new NetParameter()
	Specifies the base net to be altered. More...

SolverParameter	m_solver = new SolverParameter()
	Specifies the base solver to use. More...

Properties inherited from MyCaffe.model.ModelBuilder
NetParameter	Net `[get]`
	Returns the base net altered by the model builder. More...

SolverParameter	Solver `[get]`
	Returns the base solver. More...

Detailed Description

The SsdPascalModelBuilder adds the extra layers to a 'base' model for the Pascal model used with SSD.

Definition at line 15 of file SsdPascalModelBuilder.cs.

Constructor & Destructor Documentation

◆ SsdPascalModelBuilder()

MyCaffe.model.SsdPascalModelBuilder.SsdPascalModelBuilder	(	string	strBaseDirectory,
		int	nBatchSize = `32`,
		int	nAccumBatchSize = `32`,
		List< int >	rgGpuId = `null`,
		bool	bUseBatchNorm = `false`,
		LossParameter.NormalizationMode	normMode = `LossParameter.NormalizationMode.VALID`,
		NetParameter	net = `null`
	)

The constructor.

Parameters

strBaseDirectory	Specifies the base directory that contains the data and models.
nBatchSize	Optionally, specifies the batch size (default = 32).
nAccumBatchSize	Optionally, specifies the accumulation batch size (default = 32).
rgGpuId	Optionally, specifies a set of GPU ID's to use (when null, GPU=0 is used).
bUseBatchNorm	Optionally, specifies to use batch normalization (default = false).
normMode	Optionally, specifies the normalization mode (default = VALID).
net	Specifies the 'base' net parameter that is to be altered.

Definition at line 70 of file SsdPascalModelBuilder.cs.

Member Function Documentation

◆ addExtraLayers()

override LayerParameter MyCaffe.model.SsdPascalModelBuilder.addExtraLayers	(	bool	bUseBatchNorm = `true`,
		double	dfLrMult = `1`
	)

protectedvirtual

Add extra layers (for SSD with the Pascal dataset) on top of a 'base' network (e.g. VGGNet or Inception)

Parameters

bUseBatchNorm	Optionally, specifies whether or not to use batch normalization layers (default = true).
dfLrMult	Optionally, specifies the learning rate multiplier (default = 1.0).

Implements MyCaffe.model.ModelBuilder.

Definition at line 488 of file SsdPascalModelBuilder.cs.

◆ CreateDeployModel()

override NetParameter MyCaffe.model.SsdPascalModelBuilder.CreateDeployModel ( )

virtual

Create the testing SSD model for the pascal dataset.

Implements MyCaffe.model.ModelBuilder.

Definition at line 478 of file SsdPascalModelBuilder.cs.

◆ CreateModel()

override NetParameter MyCaffe.model.SsdPascalModelBuilder.CreateModel ( bool bDeploy = false )

virtual

Create the training SSD model for the pascal dataset.

Implements MyCaffe.model.ModelBuilder.

Definition at line 355 of file SsdPascalModelBuilder.cs.

◆ CreateSolver()

override SolverParameter MyCaffe.model.SsdPascalModelBuilder.CreateSolver ( )

virtual

Create the base solver to use.

Returns: The solver parameter created is returned.

Implements MyCaffe.model.ModelBuilder.

Definition at line 322 of file SsdPascalModelBuilder.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe.model/SsdPascalModelBuilder.cs

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SsdPascalModelBuilder()

Member Function Documentation

◆ addExtraLayers()

◆ CreateDeployModel()

◆ CreateModel()

◆ CreateSolver()