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    TensorRT 10.14.1
    
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#include "NvInferRuntimeCommon.h"Go to the source code of this file.
Classes | |
| struct | nvinfer1::plugin::PriorBoxParameters | 
| The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W).  More... | |
| struct | nvinfer1::plugin::RPROIParams | 
| RPROIParams is used to create the RPROIPlugin instance.  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.  More... | |
| struct | nvinfer1::plugin::DetectionOutputParameters | 
| The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression.  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.  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... | |
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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