Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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Updated
Apr 19, 2024 - C++
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Open source hardware and software platform to build a small scale self driving car.
An easy to use PyTorch to TensorRT converter
Real-time pose estimation accelerated with NVIDIA TensorRT
Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit
An open source tool to quantify the world
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.
A c++ implementation of yolov5 and deepsort
Create minimalist, Ubuntu based images for the Nvidia jetson boards
A C++ library that enables the use of Jetson's GPIOs
DiffBot 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.
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Install a swap file on the NVIDIA Jetson Nano Developer Kit. This should help with memory pressure issues.
Add a description, image, and links to the jetson-nano topic page so that developers can more easily learn about it.
To associate your repository with the jetson-nano topic, visit your repo's landing page and select "manage topics."