Jetson Inference: DNN Vision Library (jetson

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DNN Vision Library |

Modules

DNN Vision Library (jetson-inference)

C++ runtime library for supporting deep vision neural network models and inferencing with TensorRT. Available network primitives currently include:
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Modules

| | | tensorNet | | | DNN abstract base class that provides TensorRT functionality underneath. These functions aren't typically accessed by end users unless they are implementing their own DNN class like imageNet or detectNet.
| | | | | imageNet | | | Image recognition DNN (GoogleNet, AlexNet, ResNet)
| | | | | detectNet | | | Object detection DNN (SSD, DetectNet)
| | | | | segNet | | | Semantic segmentation DNN (FCN or Fully-Convolutional Networks)
| | | | | poseNet | | | Pose estimation DNN.
| | | | | actionNet | | | Action/activity recognition DNN.
| | | | | depthNet | | | Mono depth estimation from monocular images.
| | | | | backgroundNet | | | Foreground/background segmentation and removal DNN.
| | | | | Object Tracking | | | Object tracking used by detectNet.
| | | | | Model Downloader | | | Utilities for automatically downloading pre-trained models.
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Detailed Description

C++ runtime library for supporting deep vision neural network models and inferencing with TensorRT. Available network primitives currently include:

• imageNet for image recognition
• detectNet for object detection + localization
• segNet for semantic segmentation
• poseNet for pose estimation
• depthNet for mono depth

The different primitives each inherit from the shared tensorNet object.

See alsoUtilities Library (jetson-utils) for various utilities, including CUDA functions and Video Streaming interfaces.

• Generated on Tue Mar 28 2023 14:27:58 for Jetson Inference by 1.8.17