Darknet/YOLO v3.0-177-gfa2353b
Object Detection Framework
 
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Darknet::Prediction Struct Reference

A much-simplified version of the old API structure DarknetDetection. More...

#include "darknet.hpp"

Collaboration diagram for Darknet::Prediction:

Public Attributes

int best_class
 Zero-based class index, or -1 if nothing was found in an image.
 
cv::Point2f normalized_point
 The center point of the object. This value is normalized and must be multiplied by the image dimensions.
 
cv::Size2f normalized_size
 The dimensions of the object. This value is normalized and must be multiplied by the image dimensions.
 
Probabilities prob
 The probability for each object. Only non-zero values are kept.
 
cv::Rect rect
 The de-normalized bounding box, where the coordinates have been multiplied by the original image width and height.
 

Detailed Description

A much-simplified version of the old API structure DarknetDetection.

See also
Predictions
DarknetDetection
Since
2024-07-24

Member Data Documentation

◆ best_class

int Darknet::Prediction::best_class

Zero-based class index, or -1 if nothing was found in an image.

◆ normalized_point

cv::Point2f Darknet::Prediction::normalized_point

The center point of the object. This value is normalized and must be multiplied by the image dimensions.

◆ normalized_size

cv::Size2f Darknet::Prediction::normalized_size

The dimensions of the object. This value is normalized and must be multiplied by the image dimensions.

◆ prob

Probabilities Darknet::Prediction::prob

The probability for each object. Only non-zero values are kept.

◆ rect

cv::Rect Darknet::Prediction::rect

The de-normalized bounding box, where the coordinates have been multiplied by the original image width and height.


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