TensorRT 10.4.0
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A non-maximum suppression layer in a network definition. More...
#include <NvInfer.h>
Public Member Functions | |
void | setBoundingBoxFormat (BoundingBoxFormat fmt) noexcept |
Set the bounding box format parameter for the layer. More... | |
BoundingBoxFormat | getBoundingBoxFormat () const noexcept |
Get the bounding box format parameter for the layer. More... | |
void | setTopKBoxLimit (int32_t limit) noexcept |
Set the TopK box limit parameter for the layer. More... | |
int32_t | getTopKBoxLimit () const noexcept |
Get the TopK box limit parameter for the layer. More... | |
void | setInput (int32_t index, ITensor &tensor) noexcept |
Append or replace an input of this layer with a specific tensor. More... | |
Public Member Functions inherited from nvinfer1::ILayer | |
LayerType | getType () const noexcept |
Return the type of a layer. More... | |
void | setName (char const *name) noexcept |
Set the name of a layer. More... | |
char const * | getName () const noexcept |
Return the name of a layer. More... | |
int32_t | getNbInputs () const noexcept |
Get the number of inputs of a layer. More... | |
ITensor * | getInput (int32_t index) const noexcept |
Get the layer input corresponding to the given index. More... | |
int32_t | getNbOutputs () const noexcept |
Get the number of outputs of a layer. More... | |
ITensor * | getOutput (int32_t index) const noexcept |
Get the layer output corresponding to the given index. More... | |
void | setInput (int32_t index, ITensor &tensor) noexcept |
Replace an input of this layer with a specific tensor. More... | |
void | setPrecision (DataType dataType) noexcept |
Set the preferred or required computational precision of this layer in a weakly-typed network. More... | |
DataType | getPrecision () const noexcept |
get the computational precision of this layer More... | |
bool | precisionIsSet () const noexcept |
whether the computational precision has been set for this layer More... | |
void | resetPrecision () noexcept |
reset the computational precision for this layer More... | |
void | setOutputType (int32_t index, DataType dataType) noexcept |
Set the output type of this layer in a weakly-typed network. More... | |
DataType | getOutputType (int32_t index) const noexcept |
get the output type of this layer More... | |
bool | outputTypeIsSet (int32_t index) const noexcept |
whether the output type has been set for this layer More... | |
void | resetOutputType (int32_t index) noexcept |
reset the output type for this layer More... | |
void | setMetadata (char const *metadata) noexcept |
Set the metadata for this layer. More... | |
char const * | getMetadata () const noexcept |
Get the metadata of the layer. More... | |
Protected Member Functions | |
virtual | ~INMSLayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::ILayer | |
virtual | ~ILayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::INoCopy | |
INoCopy ()=default | |
virtual | ~INoCopy ()=default |
INoCopy (INoCopy const &other)=delete | |
INoCopy & | operator= (INoCopy const &other)=delete |
INoCopy (INoCopy &&other)=delete | |
INoCopy & | operator= (INoCopy &&other)=delete |
Protected Attributes | |
apiv::VNMSLayer * | mImpl |
Protected Attributes inherited from nvinfer1::ILayer | |
apiv::VLayer * | mLayer |
A non-maximum suppression layer in a network definition.
The NMS algorithm iterates through a set of bounding boxes and their confidence scores, in decreasing order of score. Boxes are selected if their score is above a given threshold, and their intersection-over-union (IoU) with previously selected boxes is less than or equal to a given threshold. This layer implements NMS per batch item and per class.
Per batch item, boxes are initially sorted by their scores without regard to class. Only boxes up to a maximum of the TopK limit are considered for selection (per batch). During selection, only overlapping boxes of the same class are compared, so that overlapping boxes of different classes do not suppress each other.
For each batch item, the ordering of candidate bounding boxes with the same score is unspecified, but the ordering will be consistent across different runs for the same inputs.
The layer has the following inputs, in order of input index:
The layer has the following outputs, in order of output index:
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protectedvirtualdefaultnoexcept |
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inlinenoexcept |
Get the bounding box format parameter for the layer.
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inlinenoexcept |
Get the TopK box limit parameter for the layer.
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inlinenoexcept |
Set the bounding box format parameter for the layer.
The default value for the bounding box format parameter is kCORNER_PAIRS.
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inlinenoexcept |
Append or replace an input of this layer with a specific tensor.
index | the index of the input to modify. |
tensor | the new input tensor |
The indices are as follows:
If this function is called for an index greater or equal to getNbInputs(), then afterwards getNbInputs() returns index + 1, and any missing intervening inputs are set to null. Note that only optional inputs can be missing.
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inlinenoexcept |
Set the TopK box limit parameter for the layer.
The TopK box limit is the maximum number of filtered boxes considered for selection per batch item. The default value for the TopK box limit parameter is 2000 for SM 5.3 and 6.2 devices, and 5000 otherwise. The TopK box limit must be less than or equal to {2000 for SM 5.3 and 6.2 devices, 5000 otherwise}.
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protected |
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