Determining a Hard Example Image

This section describes how to determine whether an input image is a hard example.

API Calling

virtual bool Filter(const float inferResult[], const int size);

virtual bool Filter(const std::vector<Bbox> &bboxList, DetectionFilterType type);

**Table 1** Parameter description 1
Parameter	Description
inferResult[]	Float array, which contains the confidence score of each class obtained by the classification algorithm
size	Input size

**Table 2** Parameter description 2
Parameter	Description
bboxList	std::vector<Bbox>. The Bbox structure is defined as follows: structBbox { float xmin; float ymin; float xmax; float ymax; float score; int label; Bbox(floatbboxXmin, floatbboxYmin, floatbboxXmax, floatbboxYmax, floatbboxScore, intbboxLabel): xmin(bboxXmin), ymin(bboxYmin), xmax(bboxXmax), ymax(bboxYmax), score(bboxScore), label(bboxLabel){} }; Table 3 describes related parameters.
type	Type of the hard example filter. The value can be CrossEntropyFilter, IBT, or CSF. For details, see Introduction to Hard Example Upload.

Table 2 Parameter description 2

Parameter

Description

bboxList

std::vector<Bbox>. The Bbox structure is defined as follows:

structBbox 
{
    float xmin;
    float ymin;
    float xmax;
    float ymax;
    float score;
    int label;
    Bbox(floatbboxXmin, floatbboxYmin, floatbboxXmax, floatbboxYmax,     floatbboxScore, intbboxLabel):
    xmin(bboxXmin), ymin(bboxYmin), xmax(bboxXmax), ymax(bboxYmax), score(bboxScore), label(bboxLabel){}
};

Table 3 describes related parameters.

type

Type of the hard example filter. The value can be CrossEntropyFilter, IBT, or CSF. For details, see Introduction to Hard Example Upload.

**Table 3** Parameters in the Bbox structure
Value	Description
xmin	Coordinates of a bounding box
ymin	Coordinates of a bounding box
xmax	Coordinates of a bounding box
ymax	Coordinates of a bounding box
score	Score of a bounding box
label	Class of a bounding box