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Jetson Inference
DNN Vision Library
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#include "tensorNet.h"Go to the source code of this file.
Classes | |
| class | detectNet |
| Object recognition and localization networks with TensorRT support. More... | |
| struct | detectNet::Detection |
| Object Detection result. 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_CONFIDENCE_THRESHOLD 0.5f |
| Default value of the minimum detection threshold. More... | |
| #define | DETECTNET_DEFAULT_CLUSTERING_THRESHOLD 0.75f |
| Default value of the clustering area-of-overlap threshold. More... | |
| #define | DETECTNET_DEFAULT_THRESHOLD DETECTNET_DEFAULT_CONFIDENCE_THRESHOLD |
| Default value of the minimum detection threshold. More... | |
| #define | DETECTNET_DEFAULT_ALPHA 120 |
| Default alpha blending value used during overlay. More... | |
| #define | DETECTNET_MODEL_TYPE "detection" |
| The model type for detectNet in data/networks/models.json. More... | |
| #define | DETECTNET_USAGE_STRING |
| Standard command-line options able to be passed to detectNet::Create() More... | |