Jetson Inference
DNN Vision Library

Mono depth estimation from monocular images. More...

Classes

class  depthNet
 Mono depth estimation from monocular images, using TensorRT. More...
 

Macros

#define DEPTHNET_DEFAULT_INPUT   "input_0"
 Name of default input blob for depthNet model. More...
 
#define DEPTHNET_DEFAULT_OUTPUT   "output_0"
 Name of default output blob for depthNet model. More...
 
#define DEPTHNET_USAGE_STRING
 Command-line options able to be passed to depthNet::Create() More...
 

Detailed Description

Mono depth estimation from monocular images.

Macro Definition Documentation

◆ DEPTHNET_DEFAULT_INPUT

#define DEPTHNET_DEFAULT_INPUT   "input_0"

Name of default input blob for depthNet model.

◆ DEPTHNET_DEFAULT_OUTPUT

#define DEPTHNET_DEFAULT_OUTPUT   "output_0"

Name of default output blob for depthNet model.

◆ DEPTHNET_USAGE_STRING

#define DEPTHNET_USAGE_STRING
Value:
"depthNet arguments: \n" \
" --network NETWORK pre-trained model to load, one of the following:\n" \
" * monodepth-mobilenet\n" \
" * monodepth-resnet18\n" \
" * monodepth-resnet50\n" \
" --model MODEL path to custom model to load (onnx)\n" \
" --input_blob INPUT name of the input layer (default is '" DEPTHNET_DEFAULT_INPUT "')\n" \
" --output_blob OUTPUT name of the output layer (default is '" DEPTHNET_DEFAULT_OUTPUT "')\n" \
" --batch_size BATCH maximum batch size (default is 1)\n" \
" --profile enable layer profiling in TensorRT\n\n"
#define DEPTHNET_DEFAULT_OUTPUT
Name of default output blob for depthNet model.
Definition: depthNet.h:40
#define DEPTHNET_DEFAULT_INPUT
Name of default input blob for depthNet model.
Definition: depthNet.h:34

Command-line options able to be passed to depthNet::Create()