TensorRT 10.0.0
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RPROIParams is used to create the RPROIPlugin instance. More...
#include <NvInferPluginUtils.h>
Public Attributes | |
int32_t | poolingH |
Height of the output in pixels after ROI pooling on feature map. More... | |
int32_t | poolingW |
Width of the output in pixels after ROI pooling on feature map. More... | |
int32_t | featureStride |
int32_t | preNmsTop |
Number of proposals to keep before applying NMS. More... | |
int32_t | nmsMaxOut |
Number of remaining proposals after applying NMS. More... | |
int32_t | anchorsRatioCount |
Number of anchor box ratios. More... | |
int32_t | anchorsScaleCount |
Number of anchor box scales. More... | |
float | iouThreshold |
IoU (Intersection over Union) threshold used for the NMS step. More... | |
float | minBoxSize |
Minimum allowed bounding box size before scaling, used for anchor box calculation. More... | |
float | spatialScale |
Spatial scale between the input image and the last feature map. More... | |
RPROIParams is used to create the RPROIPlugin instance.
int32_t nvinfer1::plugin::RPROIParams::anchorsRatioCount |
Number of anchor box ratios.
int32_t nvinfer1::plugin::RPROIParams::anchorsScaleCount |
Number of anchor box scales.
int32_t nvinfer1::plugin::RPROIParams::featureStride |
Feature stride; ratio of input image size to feature map size. Assuming that max pooling layers in the neural network use square filters.
float nvinfer1::plugin::RPROIParams::iouThreshold |
IoU (Intersection over Union) threshold used for the NMS step.
float nvinfer1::plugin::RPROIParams::minBoxSize |
Minimum allowed bounding box size before scaling, used for anchor box calculation.
int32_t nvinfer1::plugin::RPROIParams::nmsMaxOut |
Number of remaining proposals after applying NMS.
int32_t nvinfer1::plugin::RPROIParams::poolingH |
Height of the output in pixels after ROI pooling on feature map.
int32_t nvinfer1::plugin::RPROIParams::poolingW |
Width of the output in pixels after ROI pooling on feature map.
int32_t nvinfer1::plugin::RPROIParams::preNmsTop |
Number of proposals to keep before applying NMS.
float nvinfer1::plugin::RPROIParams::spatialScale |
Spatial scale between the input image and the last feature map.
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