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

int32_t	numMinSize

int32_t	numMaxSize

int32_t	numAspectRatios

bool	flip

bool	clip

float	variance [4]

int32_t	imgH

int32_t	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 an 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.

Member Data Documentation

◆ aspectRatios

float * nvinfer1::plugin::PriorBoxParameters::aspectRatios

◆ clip

bool nvinfer1::plugin::PriorBoxParameters::clip

◆ flip

bool nvinfer1::plugin::PriorBoxParameters::flip

◆ imgH

int32_t nvinfer1::plugin::PriorBoxParameters::imgH

◆ imgW

int32_t nvinfer1::plugin::PriorBoxParameters::imgW

◆ maxSize

float * nvinfer1::plugin::PriorBoxParameters::maxSize

◆ minSize

float* nvinfer1::plugin::PriorBoxParameters::minSize

◆ numAspectRatios

int32_t nvinfer1::plugin::PriorBoxParameters::numAspectRatios

◆ numMaxSize

int32_t nvinfer1::plugin::PriorBoxParameters::numMaxSize

◆ numMinSize

int32_t nvinfer1::plugin::PriorBoxParameters::numMinSize

◆ offset

float nvinfer1::plugin::PriorBoxParameters::offset

◆ stepH

float nvinfer1::plugin::PriorBoxParameters::stepH

◆ stepW

float nvinfer1::plugin::PriorBoxParameters::stepW

◆ variance

float nvinfer1::plugin::PriorBoxParameters::variance[4]

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

NvInferPluginUtils.h

Public Attributes