Darknet/YOLO v3.0-105-g631006a
Object Detection Framework
 
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detection Struct Reference

#include "darknet_internal.hpp"

Collaboration diagram for detection:

Public Attributes

box bbox
 bounding boxes are normalized (between 0.0f and 1.0f)
 
int best_class_idx
 
int classes
 
int embedding_size
 
float * embeddings
 embeddings for tracking
 
float * mask
 
float objectness
 
int points
 bit-0 - center, bit-1 - top-left-corner, bit-2 - bottom-right-corner
 
float * prob
 
float sim
 
int sort_class
 
int track_id
 
float * uc
 Gaussian_YOLOv3 - tx,ty,tw,th uncertainty.
 

Member Data Documentation

◆ bbox

box detection::bbox

bounding boxes are normalized (between 0.0f and 1.0f)

◆ best_class_idx

int detection::best_class_idx

◆ classes

int detection::classes

◆ embedding_size

int detection::embedding_size

◆ embeddings

float* detection::embeddings

embeddings for tracking

◆ mask

float* detection::mask

◆ objectness

float detection::objectness

◆ points

int detection::points

bit-0 - center, bit-1 - top-left-corner, bit-2 - bottom-right-corner

◆ prob

float* detection::prob

◆ sim

float detection::sim

◆ sort_class

int detection::sort_class

◆ track_id

int detection::track_id

◆ uc

float* detection::uc

Gaussian_YOLOv3 - tx,ty,tw,th uncertainty.


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