TensorRT 8.2.5
NvInferPluginUtils.h
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49
50#ifndef NV_INFER_PLUGIN_UTILS_H
51#define NV_INFER_PLUGIN_UTILS_H
52
54
61
62namespace nvinfer1
63{
64namespace plugin
65{
66
72typedef 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
163enum 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
CodeTypeSSD
The type of encoding used for decoding the bounding boxes and loc_data.
Definition: NvInferPluginUtils.h:164
@ CENTER_SIZE
Use box centers and size.
@ TF_CENTER
Use box centers and size but flip x and y coordinates.
@ CORNER_SIZE
Use box centers and size.
The TensorRT API version 1 namespace.
The DetectionOutput plugin layer generates the detection output based on location and confidence pred...
Definition: NvInferPluginUtils.h:191
The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios acr...
Definition: NvInferPluginUtils.h:152
The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation o...
Definition: NvInferPluginUtils.h:255
The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all ...
Definition: NvInferPluginUtils.h:98
The Permute plugin layer permutes the input tensor by changing the memory order of the data....
Definition: NvInferPluginUtils.h:73
RPROIParams is used to create the RPROIPlugin instance. It contains:
Definition: NvInferPluginUtils.h:125
The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for...
Definition: NvInferPluginUtils.h:230
When performing yolo9000, softmaxTree is helping to do softmax on confidence scores,...
Definition: NvInferPluginUtils.h:206

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