36 #define NVDSINFER_MAX_DIMS 8
116 #define getDimsCHWFromDims(dimsCHW,dims) \
118 (dimsCHW).c = (dims).d[0]; \
119 (dimsCHW).h = (dims).d[1]; \
120 (dimsCHW).w = (dims).d[2]; \
unsigned int w
Width of the layer.
Holds information about one parsed object from detector's output.
void * buffer
Pointer to the buffer for the layer data.
NvDsInferObjectDetectionInfo NvDsInferParseObjectInfo
Typedef to maintain backward compatibility.
unsigned int width
Input width for the model.
unsigned int left
Horizontal offset of the bounding box shape for the object.
unsigned int attributeIndex
Index of the label.
NvDsInferDims dims
Dimensions of the layer.
NvDsInferDataType dataType
Data type of the layer.
const char * layerName
Name of the layer.
unsigned int c
Channel count of the layer.
Holds information about one classified attribute.
unsigned int numDims
Number of dimesions of the layer.
unsigned int h
Height of the layer.
unsigned int channels
Number of input channels for the model.
NvDsInferDataType
Data type of the layers.
const char * attributeLabel
String label for the attribute.
unsigned int height
Input height for the model.
float attributeConfidence
Confidence level for the classified attribute.
unsigned int numElements
Number of elements in the layer including all dimensions.
unsigned int classId
ID of the class to which the object belongs.
unsigned int top
Vertical offset of the bounding box shape for the object.
unsigned int attributeValue
Output for the label.
float detectionConfidence
Object detection confidence.
Specifies dimensions of a layer.
int bindingIndex
TensorRT binding index of the layer.
Holds information about the model network.
int isInput
Boolean indicating if the layer is an input layer.
Specifies dimensions of a layer with 3 dimensions.
unsigned int width
Width of the bounding box shape for the object.
Holds information about one layer in the model.
#define NVDSINFER_MAX_DIMS
unsigned int height
Height of the bounding box shape for the object.