TensorRT 10.4.0
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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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