MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
MyCaffe.param.ssd.DetectionEvaluateParameter Class Reference

Specifies the parameters for the DetectionEvaluateLayer. More...

Inheritance diagram for MyCaffe.param.ssd.DetectionEvaluateParameter:
MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist

Public Member Functions

 DetectionEvaluateParameter ()
 The constructor. 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 DetectionEvaluateParameter 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

uint num_classes [getset]
 Specifies the number of classes that are actually predicted - required! More...
 
uint background_label_id [getset]
 Specifies the background class. More...
 
float overlap_threshold [getset]
 Specifies the threshold for deciding true/false positive. More...
 
bool evaulte_difficult_gt [getset]
 Specifies whether or not to consider the ground truth for evaluation. More...
 
string name_size_file [getset]
 Specifies the file which contains a list of names and sizes in the same order of the input database. If provided, we scale the prediction and ground truth NormalizedBBox for evaluation. More...
 
ResizeParameter resize_param [getset]
 Specifies the resize parameter used in converting the NormalizedBBox to the original size. 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 DetectionEvaluateLayer.

See also
SSD: Single Shot MultiBox Detector by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg, 2016.
GitHub: SSD: Single Shot MultiBox Detector, by weiliu89/caffe, 2016

Definition at line 19 of file DetectionEvaluateParameter.cs.

Constructor & Destructor Documentation

◆ DetectionEvaluateParameter()

MyCaffe.param.ssd.DetectionEvaluateParameter.DetectionEvaluateParameter ( )

The constructor.

Definition at line 31 of file DetectionEvaluateParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.ssd.DetectionEvaluateParameter.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 144 of file DetectionEvaluateParameter.cs.

◆ Copy()

override void MyCaffe.param.ssd.DetectionEvaluateParameter.Copy ( LayerParameterBase  src)
virtual

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 124 of file DetectionEvaluateParameter.cs.

◆ FromProto()

static DetectionEvaluateParameter MyCaffe.param.ssd.DetectionEvaluateParameter.FromProto ( RawProto  rp)
static

Parses the parameter from a RawProto.

Parameters
rpSpecifies the RawProto to parse.
Returns
A new instance of the parameter is returned.

Definition at line 177 of file DetectionEvaluateParameter.cs.

◆ Load()

override object MyCaffe.param.ssd.DetectionEvaluateParameter.Load ( System.IO.BinaryReader  br,
bool  bNewInstance = true 
)

Load the parameter from a binary reader.

Parameters
brSpecifies the binary reader.
bNewInstanceWhen 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 109 of file DetectionEvaluateParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.ssd.DetectionEvaluateParameter.ToProto ( string  strName)
virtual

Convert the parameter into a RawProto.

Parameters
strNameSpecifies the name to associate with the RawProto.
Returns
The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 156 of file DetectionEvaluateParameter.cs.

Property Documentation

◆ background_label_id

uint MyCaffe.param.ssd.DetectionEvaluateParameter.background_label_id
getset

Specifies the background class.

Needed for sanity check so that background class is neither in the ground truth nor the detections.

Definition at line 52 of file DetectionEvaluateParameter.cs.

◆ evaulte_difficult_gt

bool MyCaffe.param.ssd.DetectionEvaluateParameter.evaulte_difficult_gt
getset

Specifies whether or not to consider the ground truth for evaluation.

Definition at line 72 of file DetectionEvaluateParameter.cs.

◆ name_size_file

string MyCaffe.param.ssd.DetectionEvaluateParameter.name_size_file
getset

Specifies the file which contains a list of names and sizes in the same order of the input database. If provided, we scale the prediction and ground truth NormalizedBBox for evaluation.

This file is in the following format: name height width ...

Definition at line 87 of file DetectionEvaluateParameter.cs.

◆ num_classes

uint MyCaffe.param.ssd.DetectionEvaluateParameter.num_classes
getset

Specifies the number of classes that are actually predicted - required!

Definition at line 39 of file DetectionEvaluateParameter.cs.

◆ overlap_threshold

float MyCaffe.param.ssd.DetectionEvaluateParameter.overlap_threshold
getset

Specifies the threshold for deciding true/false positive.

Definition at line 62 of file DetectionEvaluateParameter.cs.

◆ resize_param

ResizeParameter MyCaffe.param.ssd.DetectionEvaluateParameter.resize_param
getset

Specifies the resize parameter used in converting the NormalizedBBox to the original size.

Definition at line 97 of file DetectionEvaluateParameter.cs.


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