Here are
36 public repositories
matching this topic...
TensorFlow models accelerated with NVIDIA TensorRT
Updated
Nov 22, 2019
Python
Guidance to flash JetPack to NVIDIA TX2 with Mac through a VirtualBox (VM)
A demo using tensorRT on NVIDIA Jetson TX2 accelerating the Caffe model of AlexNet.
How to install VScode on Nvidia TX2
Linux kernel 4.4 forked from Nvidia Linux4Tegra for TX1 and TX2. Supports L4T 28.1 and 28.2.1
Allied Vision CSI-2 camera driver for NVIDIA Jetson Nano, TX2, and Xavier
This project is an implementation for "Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-quality 3D Faces".
Updated
Dec 8, 2019
MATLAB
한글로 작성된 TX2 JetPack 설치 가이드입니다.
Bazel's pre-built binaries for armhf / aarch64 / x86_64.
Updated
Mar 4, 2020
Shell
Self-driving RC Car ROS Software
Updated
Mar 19, 2018
Python
Deep Reinforcement Learning applied to robotic arm
A solar powered fully autonomous coffee machine, smartphone app, smart cup, and drone delivery system.
Face Recognition on NVIDIA TX2
Updated
Sep 5, 2018
Python
Real time human detection using RPLidarA1 and TX2 onboard camera.
Updated
Dec 16, 2018
Python
Kernel build for NVIDIA Jetson (just TX2 for now). Let's enable all those disabled things :)
GitHub for Deep Learning on Jetson TX2
Updated
Aug 4, 2019
Python
Allied Vision CSI-2 Adapter Board Nvidia Jetson TX2 & Xavier DevKit
Add support for Nvidia's TX1/TX2 V4L2 codec API
Setup nvidia driver (tx2, AGX) enviroment of NCKU aiRobots lab
Updated
May 13, 2020
Dockerfile
Jetson TX2 compatible TensorFlow's ssd_mobilenet_v2_coco for TensorRT 6 / JetPack 4.3
Updated
Feb 4, 2018
Python
Updated
Sep 30, 2017
Python
This repository is for automated creating power consumption data from tx2. The data produced by this repo is for vros research.
Updated
Feb 7, 2018
Shell
Darkflow-based person detecting and tracking system for Nvidia Jetson TX2
Updated
Dec 23, 2018
Python
Linux Kernel Repository for linux-l4t-4.4
Updated
Feb 19, 2020
Python
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Before we wrap up this project and make the repo public, we should remove links to the audio file archives since we don't have the right to redistribute. (Instructions are in the setup.md doc for our own sake for now.)