Jetson Inference
DNN Vision Library

Object detection DNN (SSD, DetectNet) More...

Classes

class  detectNet
 Object recognition and localization networks with TensorRT support. More...
 

Macros

#define DETECTNET_DEFAULT_INPUT   "data"
 Name of default input blob for DetectNet caffe model. More...
 
#define DETECTNET_DEFAULT_COVERAGE   "coverage"
 Name of default output blob of the coverage map for DetectNet caffe model. More...
 
#define DETECTNET_DEFAULT_BBOX   "bboxes"
 Name of default output blob of the grid of bounding boxes for DetectNet caffe model. More...
 
#define DETECTNET_DEFAULT_THRESHOLD   0.5f
 Default value of the minimum detection threshold. More...
 
#define DETECTNET_DEFAULT_ALPHA   120
 Default alpha blending value used during overlay. More...
 

Detailed Description

Object detection DNN (SSD, DetectNet)

Macro Definition Documentation

◆ DETECTNET_DEFAULT_ALPHA

#define DETECTNET_DEFAULT_ALPHA   120

Default alpha blending value used during overlay.

◆ DETECTNET_DEFAULT_BBOX

#define DETECTNET_DEFAULT_BBOX   "bboxes"

Name of default output blob of the grid of bounding boxes for DetectNet caffe model.

◆ DETECTNET_DEFAULT_COVERAGE

#define DETECTNET_DEFAULT_COVERAGE   "coverage"

Name of default output blob of the coverage map for DetectNet caffe model.

◆ DETECTNET_DEFAULT_INPUT

#define DETECTNET_DEFAULT_INPUT   "data"

Name of default input blob for DetectNet caffe model.

◆ DETECTNET_DEFAULT_THRESHOLD

#define DETECTNET_DEFAULT_THRESHOLD   0.5f

Default value of the minimum detection threshold.