TensorRT 10.7.0
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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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strong |
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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