nvidia-ai-iot,NVIDIA AI IOT,github

argus_camera

Simple Python / C++ interface to CSI camera connected to NVIDIA Jetson.

caffe_ros

Package containing nodes for deep learning in ROS.

centernet_kinect

Real-time CenterNet based object detection on fused IR/Depth images from Kinect sensor. Works on NVIDIA Jetson.

clip-distillation

Zero-label image classification via OpenCLIP knowledge distillation

cuda-pointpillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

cupcl

A project demonstrating how to use the libs of cuPCL.

deep_nav_layers

A series of plugins to the ROS navigation stack to incorporate deep learning inputs.

deepstream-dewarper-app

This project demonstrate how to infer and track from a 360 videos by using the dewarper plugin.

deepstream-fpfilter

A project demonstrating how to improve the model accuracy by suppression the false postive using an assessor model

deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

deepstream-retail-analytics

A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.

deepstream-segmentation-analytics

A project demonstration to do the industrial defect segmentation based on loading the image from directory and generate the output ground truth.

deepstream-yolo3-gige-apps

A project demonstration on how to use the GigE camera to do the DeepStream Yolo3 object detection, how to set up the GigE camera, and deployment for the DeepStream apps.