TensorRT  8.2.0
NvInferPluginUtils.h
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49 
50 #ifndef NV_INFER_PLUGIN_UTILS_H
51 #define NV_INFER_PLUGIN_UTILS_H
52 
53 #include "NvInferRuntimeCommon.h"
54 
61 
62 namespace nvinfer1
63 {
64 namespace plugin
65 {
66 
72 typedef struct
73 {
74  int32_t data[4];
75 } Quadruple;
76 
98 {
99  float *minSize, *maxSize, *aspectRatios;
100  int32_t numMinSize, numMaxSize, numAspectRatios;
101  bool flip;
102  bool clip;
103  float variance[4];
104  int32_t imgH, imgW;
105  float stepH, stepW;
106  float offset;
107 };
108 
125 {
126  int32_t poolingH;
127  int32_t poolingW;
128  int32_t featureStride;
129  int32_t preNmsTop;
130  int32_t nmsMaxOut;
131  int32_t anchorsRatioCount;
132  int32_t anchorsScaleCount;
133  float iouThreshold;
134  float minBoxSize;
135  float spatialScale;
136 };
137 
138 
152 {
153  float minSize, maxSize;
154  float* aspectRatios;
155  int32_t numAspectRatios, H, W;
156  float variance[4];
157 };
158 
163 enum class CodeTypeSSD : int32_t
164 {
165  CORNER = 0,
166  CENTER_SIZE = 1,
167  CORNER_SIZE = 2,
168  TF_CENTER = 3
169 };
170 
191 {
192  bool shareLocation, varianceEncodedInTarget;
193  int32_t backgroundLabelId, numClasses, topK, keepTopK;
194  float confidenceThreshold, nmsThreshold;
195  CodeTypeSSD codeType;
196  int32_t inputOrder[3];
197  bool confSigmoid;
198  bool isNormalized;
199  bool isBatchAgnostic{true};
200 };
201 
206 {
207  int32_t* leaf;
208  int32_t n;
209  int32_t* parent;
210  int32_t* child;
211  int32_t* group;
212  char** name;
213 
214  int32_t groups;
215  int32_t* groupSize;
216  int32_t* groupOffset;
217 };
218 
230 {
231  int32_t num;
232  int32_t coords;
233  int32_t classes;
234  softmaxTree* smTree;
235 };
236 
253 
255 {
256  bool shareLocation;
257  int32_t backgroundLabelId, numClasses, topK, keepTopK;
258  float scoreThreshold, iouThreshold;
259  bool isNormalized;
260 };
261 
262 } // namespace plugin
263 } // namespace nvinfer1
264 
265 #endif // NV_INFER_PLUGIN_UTILS_H
nvinfer1::plugin::RegionParameters
The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for...
Definition: NvInferPluginUtils.h:229
nvinfer1::plugin::Quadruple
The Permute plugin layer permutes the input tensor by changing the memory order of the data....
Definition: NvInferPluginUtils.h:72
nvinfer1::plugin::GridAnchorParameters
The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios acr...
Definition: NvInferPluginUtils.h:151
nvinfer1::plugin::PriorBoxParameters
The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all ...
Definition: NvInferPluginUtils.h:97
nvinfer1::plugin::RPROIParams
RPROIParams is used to create the RPROIPlugin instance. It contains:
Definition: NvInferPluginUtils.h:124
nvinfer1
The TensorRT API version 1 namespace.
nvinfer1::plugin::softmaxTree
When performing yolo9000, softmaxTree is helping to do softmax on confidence scores,...
Definition: NvInferPluginUtils.h:205
NvInferRuntimeCommon.h
nvinfer1::plugin::CodeTypeSSD
CodeTypeSSD
The type of encoding used for decoding the bounding boxes and loc_data.
Definition: NvInferPluginUtils.h:163
nvinfer1::plugin::NMSParameters
The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation o...
Definition: NvInferPluginUtils.h:254
nvinfer1::plugin::DetectionOutputParameters
The DetectionOutput plugin layer generates the detection output based on location and confidence pred...
Definition: NvInferPluginUtils.h:190