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    TensorRT 10.13.3
    
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Classes | |
| struct | DetectionOutputParameters | 
| The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression.  More... | |
| struct | 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 | NMSParameters | 
| The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation over boxes for object detection networks.  More... | |
| struct | PriorBoxParameters | 
| The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W).  More... | |
| struct | RegionParameters | 
| The Region plugin layer performs region proposal calculation.  More... | |
| struct | RPROIParams | 
| RPROIParams is used to create the RPROIPlugin instance.  More... | |
| struct | 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... | |
Enumerations | |
| enum class | CodeTypeSSD : int32_t { CORNER = 0 , CENTER_SIZE = 1 , CORNER_SIZE = 2 , TF_CENTER = 3 } | 
| The type of encoding used for decoding the bounding boxes and loc_data.  More... | |
      
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The type of encoding used for decoding the bounding boxes and loc_data.
| Enumerator | |
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| CORNER | Use box corners.  | 
| CENTER_SIZE | Use box centers and size.  | 
| CORNER_SIZE | Use box centers and size.  | 
| TF_CENTER | Use box centers and size but flip x and y coordinates.  | 
   
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