nvinfer1::plugin::PriorBoxParameters Struct Reference

The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). PriorBoxParameters defines a set of parameters for creating the PriorBox plugin layer. It contains: More...

#include <NvInferPluginUtils.h>

Public Attributes
float *	minSize
float *	maxSize
float *	aspectRatios
int	numMinSize
int	numMaxSize
int	numAspectRatios
bool	flip
bool	clip
float	variance [4]
int	imgH
int	imgW
float	stepH
float	stepW
float	offset

Detailed Description

The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). PriorBoxParameters defines a set of parameters for creating the PriorBox plugin layer. It contains:

Parameters

minSize	Minimum box size in pixels. Can not be nullptr.
maxSize	Maximum box size in pixels. Can be nullptr.
aspectRatios	Aspect ratios of the boxes. Can be nullptr.
numMinSize	Number of elements in minSize. Must be larger than 0.
numMaxSize	Number of elements in maxSize. Can be 0 or same as numMinSize.
numAspectRatios	Number of elements in aspectRatios. Can be 0.
flip	If true, will flip each aspect ratio. For example, if there is aspect ratio "r", the aspect ratio "1.0/r" will be generated as well.
clip	If true, will clip the prior so that it is within [0,1].
variance	Variance for adjusting the prior boxes.
imgH	Image height. If 0, then the H dimension of the data tensor will be used.
imgW	Image width. If 0, then the W dimension of the data tensor will be used.
stepH	Step in H. If 0, then (float)imgH/h will be used where h is the H dimension of the 1st input tensor.
stepW	Step in W. If 0, then (float)imgW/w will be used where w is the W dimension of the 1st input tensor.
offset	Offset to the top left corner of each cell.

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

• NvInferPluginUtils.h