TensorRT 8.5.3
NvInferPluginUtils.h File Reference

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Classes

struct  nvinfer1::plugin::Quadruple
 The Permute plugin layer permutes the input tensor by changing the memory order of the data. Quadruple defines a structure that contains an array of 4 integers. They can represent the permute orders or the strides in each dimension. More...
 
struct  nvinfer1::plugin::PriorBoxParameters
 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...
 
struct  nvinfer1::plugin::RPROIParams
 RPROIParams is used to create the RPROIPlugin instance. It contains: More...
 
struct  nvinfer1::plugin::GridAnchorParameters
 The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). GridAnchorParameters defines a set of parameters for creating the plugin layer for all feature maps. It contains: More...
 
struct  nvinfer1::plugin::DetectionOutputParameters
 The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression. This plugin first decodes the bounding boxes based on the anchors generated. It then performs non_max_suppression on the decoded bounding boxes. DetectionOutputParameters defines a set of parameters for creating the DetectionOutput plugin layer. It contains: More...
 
struct  nvinfer1::plugin::softmaxTree
 When performing yolo9000, softmaxTree is helping to do softmax on confidence scores, for element to get the precise classification through word-tree structured classification definition. More...
 
struct  nvinfer1::plugin::RegionParameters
 The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for yolo9000, generate 3 bounding boxes per cell). For each box, calculating its probablities of objects detections from 80 pre-defined classifications (yolo9000 has 9418 pre-defined classifications, and these 9418 items are organized as work-tree structure). RegionParameters defines a set of parameters for creating the Region plugin layer. More...
 
struct  nvinfer1::plugin::NMSParameters
 The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation over boxes for object detection networks. More...
 

Namespaces

namespace  nvinfer1
 The TensorRT API version 1 namespace.
 
namespace  nvinfer1::plugin
 

Enumerations

enum class  nvinfer1::plugin::CodeTypeSSD : int32_t { nvinfer1::plugin::CORNER = 0 , nvinfer1::plugin::CENTER_SIZE = 1 , nvinfer1::plugin::CORNER_SIZE = 2 , nvinfer1::plugin::TF_CENTER = 3 }
 The type of encoding used for decoding the bounding boxes and loc_data. More...
 

Detailed Description

This is the API for the Nvidia provided TensorRT plugin utilities. It lists all the parameters utilized by the TensorRT plugins.

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