Torch2trtAn easy to use PyTorch to TensorRT converter
DonkeycarOpen source hardware and software platform to build a small scale self driving car.
Jetson InferenceHello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
homesecuritySecurity camera with Raspberry pi and NVIDIA Jetson platforms
fyp-rescue-robotThis project is my final year capstone project - A self-navigating robot for search and rescue. We build a robot in ROS and integrate several functions: self-navigation, object detection and tracking, and an Arduino board to grab simple objects. The final demostration video is shown here: https://youtu.be/2dpzOpEn4hM
JetScanJetScan : GPU accelerated portable RGB-D reconstruction system
linux nvidia jetsonAllied Vision CSI-2 camera driver for NVIDIA Jetson Systems. Currently supporting Nano, TX2, AGX Xavier, and Xavier NX. Support for TX2 NX coming soon.
ros jetson stats🐢 The ROS jetson-stats wrapper. The status of your NVIDIA jetson in diagnostic messages
installROSInstall ROS Melodic on NVIDIA Jetson Development Kits
installLibrealsenseBuild and install Intel's librealsense for the NVIDIA Jetson Nano Developer Kit
JetsonTeachspace.bilibili.com/425957063/channel/detail?cid=73027
smart-social-distancingSocial Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
trt pose handReal-time hand pose estimation and gesture classification using TensorRT
Bazel binBazel's pre-built binaries for armv7l / aarch64 / x86_64.
diffbotDiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B. With its SLAMTEC Lidar and the ROS Control hardware interface it's capable of navigating in an environment using the ROS Navigation stack and making use of SLAM algorithms to create maps of unknown environments.
iknetInverse kinematics estimation of ROBOTIS Open Manipulator X with neural networks
bootFromUSBBoot NVIDIA Nano Jetson Developer Kit from a mass storage USB device (Jetson Nano devices A02, B01, 2GB and possibly Jetson TX1)